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`UNITED STATES PATENT AND TRADEMARK OFFICE
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`____________________
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`BEFORE THE PATENT TRIAL AND APPEAL BOARD
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`____________________
`
`APPLE INC.,
`Petitioner
`
`v.
`
`UNILOC LUXEMBOURG S.A.,
`Patent Owner
`
`____________________
`
`Patent No. 9,414,199
`____________________
`
`PETITION FOR INTER PARTES REVIEW
`OF U.S. PATENT NO. 9,414,199
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`
`
`
`
`Petition for Inter Partes Review
`Patent No. 9,414,199
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`TABLE OF CONTENTS
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`
`INTRODUCTION ........................................................................................... 1
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`I.
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`II. MANDATORY NOTICES UNDER 37 C.F.R. § 42.8 ................................... 2
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`III.
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`FEE AUTHORIZATION ................................................................................ 2
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`IV. GROUNDS FOR STANDING ........................................................................ 3
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`V.
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`PRECISE RELIEF REQUESTED .................................................................. 3
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`VI. BACKGROUND ............................................................................................. 3
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`A. Overview of the ’199 Patent .................................................................. 3
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`B.
`
`C.
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`Prosecution History ............................................................................... 5
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`Level of Ordinary Skill in the Art ......................................................... 7
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`VII. CLAIM CONSTRUCTION ............................................................................ 7
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`VIII. SPECIFIC EXPLANATION OF GROUNDS ................................................ 8
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`A. Ground 1: Blegen and Monteverde Render Obvious Claims 1-2 ......... 8
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`1.
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`2.
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`3.
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`4.
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`5.
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`Overview of Blegen (Ex. 1004) .................................................. 8
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`Overview of Monteverde (Ex. 1005) .......................................... 9
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`Reasons to Combine ................................................................. 11
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`Claim 1 ...................................................................................... 13
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`Claim 2 ...................................................................................... 29
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`B.
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`Ground 2: Blegen, Monteverde, and Schmidt Render Obvious
`Claims 3-5 ........................................................................................... 30
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`1.
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`2.
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`Overview of Schmidt (Ex. 1006) .............................................. 30
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`Reasons to Combine ................................................................. 31
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`i
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`Petition for Inter Partes Review
`Patent No. 9,414,199
`Claim 3 ...................................................................................... 33
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`Claim 4 ...................................................................................... 37
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`Claim 5 ...................................................................................... 39
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`3.
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`4.
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`5.
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`C.
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`Ground 3: Charlebois and Gillies Render Obvious Claims 1-5 ......... 41
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`1.
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`2.
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`3.
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`4.
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`5.
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`6.
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`7.
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`8.
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`Overview of Charlebois (Ex. 1007) .......................................... 41
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`Overview of Gillies (Ex. 1008) ................................................. 43
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`Reasons to Combine ................................................................. 44
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`Claim 1 ...................................................................................... 46
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`Claim 2 ...................................................................................... 62
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`Claim 3 ...................................................................................... 63
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`Claim 4 ...................................................................................... 65
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`Claim 5 ...................................................................................... 66
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`D. Ground 4: Charlebois, Gillies, and Froloff Render Obvious
`Claims 1-5 ........................................................................................... 68
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`1.
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`2.
`
`3.
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`Overview of Froloff (Ex. 1009) ................................................ 68
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`Reasons to Combine ................................................................. 69
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`Claims 1-5 ................................................................................. 70
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`IX. THE PROPOSED GROUNDS ARE NOT REDUNDANT ......................... 71
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`X.
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`CONCLUSION .............................................................................................. 72
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`-ii-
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`Petition for Inter Partes Review
`Patent No. 9,414,199
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`LIST OF EXHIBITS
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`U.S. Patent No. 9,414,199 (the “’199 Patent”)
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`Prosecution File History of U.S. Patent No. 9,414,199
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`Declaration of Dr. Gabriel Robins
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`U.S. Patent Publication No. 2010/0082397 (“Blegen”)
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`U.S. Patent Publication No. 2012/0259705 (“Monteverde”)
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`U.S. Patent Publication No. 2012/0226554 (“Schmidt”)
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`U.S. Patent Publication No. 2009/0125321 (“Charlebois”)
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`U.S. Patent Publication No. 2010/0151882 (“Gillies”)
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`U.S. Patent Publication No. 2012/0089465 (“Froloff”)
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`Chawla, Robins, and Zhang, “Object Localization Using
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`1001
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`1002
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`1003
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`1004
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`1005
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`1006
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`1007
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`1008
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`1009
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`1010
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`RFID,” IEEE International Symposium on Wireless Pervasive
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`Computing - ISWPC 2010, Italy, May 2010, pp. 301-306
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`1011
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`Chawla, Robins, and Zhang, “Efficient RFID-Based Mobile
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`Object Localization,” IEEE International Conference on
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`Wireless and Mobile Computing, Networking and
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`Communications, Canada, October, 2010, pp. 683-690
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`iii
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`Patent No. 9,414,199
`Chawla and Robins, “An RFID-based object localisation
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`1012
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`framework,” Int. J. Radio Frequency Identification Technology
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`and Applications, Vol. 3, 2011
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`1013
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`Strang et al., “Location- and Context-Awareness,” First
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`International Workshop on Location- and Context-Awareness,
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`Germany, May 2005
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`1014
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` Hazas et al, “Location- and Context-Awareness,” Second
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`International Workshop on Location- and Context-Awareness,
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`Ireland, May 2006
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`1015
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`Hightower et al., “Location- and Context-Awareness,” Third
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`International Workshop on Location- and Context-Awareness,
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`Ireland, Sep. 2007
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`1016
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`Curriculum Vitae of Dr. Gabriel Robins
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`iv
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`Petition for Inter Partes Review
`Patent No. 9,414,199
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`I.
`
`INTRODUCTION
`
`Apple Inc. (“Petitioner”) requests inter partes review (“IPR”) of Claims 1-5
`
`of U.S. Patent No. 9,414,199 (the “’199 Patent”; Ex. 1001), assigned to Uniloc
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`Luxembourg S.A. (“Patent Owner”). This Petition presents several non-
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`cumulative grounds of invalidity that were not considered during prosecution.
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`These grounds are each likely to prevail, and this Petition, accordingly, should be
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`granted on all grounds and the challenged claims should be cancelled.
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`The ’199 Patent relates to “methods of and systems for delivery of
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`information” such as “sending a promotion or advertisement to the user device.”
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`Ex. 1001, Abstract. The system delivers advertisement information in response to
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`predicting that the likelihood of a user visiting a location exceeds a predetermined
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`threshold. Id., Abstract, 1:37-46. The ’199 Patent issued because the prior art
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`considered during prosecution did not disclose delivering information to user
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`devices based on a prediction of locations that the user will visit in the future. Ex.
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`1002, 22-24. Each of the prior art references relied on in this Petition teaches this
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`feature and was not considered during prosecution.1 For reasons set forth in this
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`Petition, all claims of the ’199 Patent are obvious over the prior art.
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`1 This technology was well known. In the Technological Background section of
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`his declaration (Ex. 1003, ¶¶33-40), Dr. Gabriel Robins describes other references,
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`1
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`Petition for Inter Partes Review
`Patent No. 9,414,199
`II. MANDATORY NOTICES UNDER 37 C.F.R. § 42.8
`Real Parties-in-Interest: Apple Inc.
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`Related Matters: Patent Owner has asserted the ’199 Patent against
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`Petitioner in Uniloc USA, Inc. et al. v. Apple Inc., No. 2:17-cv-258-JRG (E.D.
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`Texas).
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`Lead Counsel: Xin-Yi (Vincent) Zhou (Reg. No. 63,366)
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`Backup Counsel: Sina S. Aria (Reg. No. 69,490) and Laura A. Bayne (Reg.
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`No. 72,420). In addition, Petitioner plans to file a motion for pro hac vice
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`admission for Luann L. Simmons.
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`Service Information: Petitioner consents to electronic service by email to
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`APPLEUNILOCIPR@OMM.COM. Please address all correspondence to lead and
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`backup counsel at O’Melveny & Myers LLP, 400 South Hope Street, Los Angeles,
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`California 90071 (Telephone: 213-430-6000; Fax: 213-430-6407), with courtesy
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`copies to the email address identified above.
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`III. FEE AUTHORIZATION
`The PTO is authorized to charge $23,000 to Deposit Account No. 50-0639
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`for the fee set forth in 37 C.F.R § 42.15(a) and any other fees.
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`published as early as 2005, that disclose targeted advertising based on location
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`prediction. Exs. 1010-1016.
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`Patent No. 9,414,199
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`IV. GROUNDS FOR STANDING
`Petitioner certifies that the ’199 Patent is available for IPR, and Petitioner is
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`not barred or estopped from requesting IPR on the grounds presented.
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`V.
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`PRECISE RELIEF REQUESTED
`
`Petitioner respectfully requests review and cancellation of Claims 1-5 of the
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`’199 Patent under 35 U.S.C. §103 based on the following grounds:
`
`1.
`
`U.S. Patent Pubs. 2010/0082397 (“Blegen”) and 2012/0259704
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` (“Monteverde”) render obvious Claims 1 and 2;
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`2.
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`Blegen, Monteverde, and U.S. Patent Pub. 2012/0226554 (“Schmidt”)
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`render obvious Claims 3-5;
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`3.
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`U.S. Patent Pubs. 2009/0125321 (“Charlebois”) and 2010/0151882
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`(“Gillies”) render obvious Claims 1-5; and
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`4.
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`Charlebois, Gillies, and U.S. Patent Pub. 2012/0089465 (“Froloff”)
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`render obvious Claims 1-5.
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`VI. BACKGROUND
`A. Overview of the ’199 Patent
`The ’199 Patent, titled “Predictive Delivery of Information Based on Device
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`History,” discloses a system for delivering advertisement information to user
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`devices. Ex. 1001, Abstract. The system “gathers location information from the
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`user devices to collect location histories of the devices and uses the location
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`histories to periodically predict future locations of the devices.” Id., 1:30-36. For
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`example, as shown in Figure 1, “a server 106 … sends information to user devices
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`102A-D” based on “predicted future locations of those devices.” Id., 3:12-16.
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` ’199 Patent, Fig. 1 (Annotated)
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`
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`“A number of actions,” such as sending advertisement information, “are
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`associated with one or more predetermined locations, a predetermined maximum
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`amount of time, and a predetermined likelihood.” Id., 1:37-39. When a server
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`(e.g., server 106 in Fig. 1) “determines that a given user device [e.g., user device
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`102A] is likely to be in one of the predetermined locations within the
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`predetermined maximum amount of time with at least the predetermined minimum
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`likelihood, the server performs the associated acts with respect to the user device.”
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`Id., 1:40-44.
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`In an example described in the specification, the predetermined locations
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`correspond to locations of stores, the predetermined maximum amount of time is
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`one hour, the predetermined likelihood is 50%, and the action is delivery of
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`advertisement information. Id., 1:52-56. If the system predicts there is more than
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`a 50% probability that a user device will be at or around any of the store locations
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`within an hour, it delivers the corresponding advertisement to the user device. Id.
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`In another example, the predetermined locations are locations of restaurants,
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`and the predetermined maximum amount of time is “lunch time on weekdays”
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`from “11:30 am to 2:00 pm”—which specifies the maximum amount of time
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`during which a lunch offer will be sent to the user device. Id., 2:17-27.
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`Prosecution History
`
`B.
`The ’119 Patent issued from Application No. 14/188,063, filed on February
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`24, 2014. Ex. 1001, Cover.
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`On December 18, 2014, the Examiner issued an Office Action rejecting
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`Claim 1-5 over prior art. Ex. 1002, 117. On March 17, 2015, the Applicant
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`responded by amending Claims 1-5 to include language identical to the issued
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`claims. Id., 88-89. The Applicant argued that the prior art of record does not
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`disclose delivery of information in response to predictions based on a
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`“predetermined likelihood.” Id., 93.
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`On March 31, 2015, the Examiner issued a Final Office Action, rejecting
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`Claims 1-5 as being obvious over prior art directed to selecting and sending
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`advertisements based on “user interests.” Id., 72. The Examiner stated that
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`advertisement delivery based on “user interests” is equivalent to delivery of
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`information based on a “predetermined likelihood,” as recited in the claims. Id.
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`The Applicant appealed the Examiner’s rejections to the PTAB, arguing that
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`“‘likelihood’ has nothing to do with what a person subjectively likes.” Id., 51. In
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`support, the Applicant submitted several dictionary definitions of “likelihood,”
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`arguing that “all of [the definitions] pertain to probability and none of which
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`pertain to what a person subjectively likes.” Id., 51-52.
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`In a June 1, 2016 decision, the Board reversed the Examiner’s rejections,
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`finding that the prior art cited by the Examiner did not disclose the “predetermined
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`likelihood” limitation. Id., 23-24. The Board noted that under the broadest
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`reasonable interpretation standard, “the ‘predetermined likelihood’ refers to the
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`probability or the percentage likelihood that a mobile device will be at a predicted
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`location in the future.” Id., 23 (citing Ex. 1001, 5:22-28). The Examiner issued a
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`Notice of Allowability on June 30, 2016. Ex. 1002, 6-8.
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`None of the prior art references analyzed in this Petition were cited during
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`prosecution.
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`C. Level of Ordinary Skill in the Art
`Based on the disclosure of the ’199 Patent, a person of ordinary skill in the
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`art around the filing of the ’199 Patent (hereafter, a “POSITA”) would have been
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`someone with a bachelor’s degree in computer science or equivalent, and at least
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`two years of experience or research in software engineering, and/or computer
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`systems. Ex. 1003, ¶¶29-31.
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`VII. CLAIM CONSTRUCTION
`Because the ’199 Patent will not expire during this proceeding, Petitioner
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`interprets its claims based on their broadest reasonable interpretation in light of the
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`specification.
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`During prosecution, the Board held that the term “predetermined likelihood”
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`refers to “the probability or the percentage likelihood that a mobile device will be
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`at a predicted location in the future.” Ex. 1002, 23. This Petition analyzes
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`“predetermined likelihood” under both the Board’s interpretation and the term’s
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`plain meaning under the broadest reasonable interpretation standard.
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`Patent No. 9,414,199
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`VIII. SPECIFIC EXPLANATION OF GROUNDS
`A. Ground 1: Blegen and Monteverde Render Obvious Claims 1-2
`1. Overview of Blegen (Ex. 1004)
`Blegen, titled “Predictive Geo-Temporal Advertisement Targeting,” was
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`published on April 1, 2010. Ex. 1004, Cover. Blegen is prior art under 35 U.S.C.
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`§102(b).
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`Blegen discloses a system “for targeting advertisements to users of mobile
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`devices based on geo-temporal models.” Id., Abstract. The geo-temporal models
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`use “time-stamped location information” of mobile devices gathered over time “to
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`estimate probabilities associated with obtaining accurate predictions ….” Id.,
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`[0048]; see also [0060], [0079]. For example, the system uses the “geo-temporal
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`model … for predicting geographical locations in which a mobile device [] will be
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`located at specified time periods.” Id., [0067]; [0079].
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`Each prediction is associated with a confidence level that may be expressed
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`as a percentage. Id., [0068]. For example, “the confidence level threshold” for a
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`given advertisement is set to 80%. Id., [0067]. When the confidence level
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`associated with a user device’s predicted location during a specified time period
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`(e.g., “afternoon” of “Sep. 26, 2008”) exceeds that threshold, an advertisement
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`relating to the predicted location is delivered to the user device. Id., [0068].
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`2. Overview of Monteverde (Ex. 1005)
`Monteverde, titled “Time-Sensitive and Location-Based Commercial Offer
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`System,” was filed on November 9, 2011, and was published on October 11, 2012.
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`Ex. 1005, Cover. Monteverde is prior art under at least 35 U.S.C. §§102(a) and
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`102(e).
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`Monteverde discloses a system for “notify[ing] a user of a commercial offer”
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`that is time-sensitive and location-specific. Id., Abstract, [0007]. As shown in
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`Figure 10, the system develops a record of the user’s location history in steps
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`S305, S310 and S1005. Id., [0075]. In step S1010, the system analyzes that
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`location history to determine a “probability score” indicating the likelihood that the
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`user will be in a geographical area “during an offer period” associated with a
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`commercial offer. Id., [0076]. If the probability score exceeds a “predetermined
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`threshold” (S1015), the system transmits the offer to the user device (S1020). Id.,
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`[0076]-[0077].
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` Monteverde, Fig. 10 (Annotated)
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`
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`Monteverde discloses transmitting offers to “potential customers” that meet
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`the location-, time-, and likelihood-based criteria for the offer. Id., [0008]. For
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`example, when the system predicts a “probability score above a predetermined
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`threshold” indicating that the user “is likely to pass by [a] restaurant in the future
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`between 8:00 am and 9:00 am,” it “transmit[s] commercial offers for breakfast or
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`coffee discounts” to the user’s device. Id., [0076]-[0077], Fig. 10 (S1015, S1020).
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`Reasons to Combine
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`3.
`Blegen and Monteverde are in the same field—directed advertising to
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`mobile devices. Ex. 1004, Abstract; Ex. 1005, Abstract, Fig. 10. They disclose the
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`same approach—forming a time-stamped location history of the user device,
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`predicting locations of the user, and targeting advertisements based on the
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`predicted locations. Ex. 1004, Abstract, [0079]; Ex. 1005, [0077], Fig. 10. Given
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`that Blegen and Monteverde are in a common field of endeavor and disclose
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`similar time- and location-based targeted advertising systems, a POSITA would
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`have recognized that Monteverde’s targeted advertising features could be added to
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`and would benefit Blegen’s system. Ex. 1003, ¶66. Therefore, a POSITA would
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`have found the combination of the references to be an obvious combination of
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`familiar elements according to known methods that does no more than yield
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`predictable results. Id.
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`For the reasons set forth below for Element [1a], Blegen discloses or
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`suggests retrieving advertisement information associated with a specified time
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`period, and delivering the advertisement in response to predicting that a user will
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`arrive at a location within the specified time period. Ex. 1004, [0044], Fig. 6; Ex.
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`1003, ¶¶67-73. But to the extent Patent Owner argues that Blegen does not
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`disclose this feature, a POSITA would have found it obvious to modify Blegen to
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`incorporate Monteverde’s specification of a maximum time window (e.g., an “offer
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`period”) for each advertisement. Id., ¶¶74-77.
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`Blegen and Monteverde both disclose the benefits of allowing the advertiser
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`to specify time attributes of advertisements to enhance the relevance of
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`advertisements. Ex. 1004, [0014]; Ex. 1005, [0005], [0078]-[0079]. Accordingly,
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`it would have been obvious to modify Blegen in view of Monteverde to allow the
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`advertiser to specify a maximum amount of time (e.g., an “offer period”) for each
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`advertisement stored in the server database. Ex. 1005, [0025], [0031], [0045],
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`[0076]; Ex. 1003, ¶77. Monteverde explains the benefit of this modification: it
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`allows the server to distribute only advertisements that are “most relevant or
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`available” based on the predicted destination of the user and the predicted time
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`period of arrival. Id.; Ex. 1005, [0069]; see also [0005], [0078], [0079]. By
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`targeting the advertisement to users who are likely to be at the location within the
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`“offer period,” the advertisement’s relevance and value are enhanced. Id. Thus, to
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`the extent Blegen does not disclose or suggest Element [1a.ii], a POSITA would
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`have found it obvious to modify Blegen to incorporate Monteverde’s disclosure of
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`a maximum time window (e.g., an “offer period”) for each advertisement to ensure
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`that the advertisements is sent when a user is predicted to be at the predetermined
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`locations when the offer is valid. Ex. 1003, ¶¶74-77.
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`4.
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`Claim 1
`a)
`
`Preamble: “A method for delivering information to two
`or more user devices, the method comprising:”
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`Blegen discloses a method for delivering advertisement information to user
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`devices. Ex. 1004, Abstract, [0070]. The disclosed method “provides
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`advertisements to mobile devices” over a network. Id., [0070], Fig. 3.
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`Blegen discloses delivering information to two or more user devices. Id.,
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`Fig. 2, [0023]. As shown in Figure 2, a content provider 212 “facilitate[s]
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`targeting of advertisements to a number of mobile devices 216” over network 222
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`and mobile network 214. Id.
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`Blegen, Fig. 2 (Annotated)
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`Therefore, Blegen discloses the preamble of Claim 1. Ex. 1003, ¶¶58-59.
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`Monteverde also discloses “provid[ing]” or “transmitt[ing]” “commercial
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`offers” to each “user device 100” of multiple “potential customers.” Ex. 1005,
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`[0007]-[0008]. Thus, Monteverde also discloses the preamble of Claim 1. Ex.
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`1003, ¶¶60-61.
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`b)
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`Element [1a]: “retrieving the information from one or
`more data records that associate the information with
`[1a.i] one or more predetermined locations, [1a.ii] a
`predetermined maximum amount of time, [1a.iii] a
`predetermined likelihood, and [1a.iv] one or more
`predetermined actions; and”
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`Blegen discloses retrieving advertisement information from one or more data
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`records (e.g., “ad database 227”) that store “attributes associated with an
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`advertisement that indicate situations in which the advertisement should be
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`provided.” Ex. 1004, [0044]; see also [0036] (“[A]d database 227 is a relational
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`database that includes advertisement identifiers that identify advertisements stored
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`in storage 225 as well as data associated with various attributes corresponding to
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`the advertisement identifiers. … [A]n attribute or attributes can represent
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`information that indicates a geographical region wherein the advertisement
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`corresponding to the associated advertisement identifier should be presented.”),
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`Fig. 2.
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`Blegen, Fig. 2 (Annotated)
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`
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`Blegen discloses that the attributes associated with advertisement
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`information allow the system to search for and select advertisements with locations
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`and time attributes that correspond to the predicted locations that a user will be in
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`the future and times of arrival at the predicted locations. Id., [0071] (“[A]d
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`selection component 322 receives information from prediction component 346 that
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`indicates locations, times, and/or other information relevant to targeting
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`advertisement to a user. Based on the information received, ad selection
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`component 322 can search ad store 324 such as by querying an index associated
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`therewith, and retrieve advertisements that are appropriate for presentation to the
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`user at the specified and/or predicted times, locations, and the like.”). Thus,
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`Blegen discloses retrieving information from one or more data records that
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`associate the information with the parameters discussed below. Ex. 1003, ¶¶62-63.
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`Element [1a.i]: Blegen discloses retrieving advertisement information from
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`“ad database 227” that associates the information with one or more predetermined
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`locations. Ex. 1004, [0036] (“[A]n attribute or attributes can represent information
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`that indicates a geographical region wherein the advertisement corresponding to
`
`the associated advertisement identifier should be presented.”), [0037] (“[A]n
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`advertisement provider such as ad source 224 can specify particular geographical
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`regions in which an ad should be presented to a user. That way, for example, a
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`local sandwich shop can specify that an advertisement related thereto is presented
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`to users when the users are within a certain distance from the shop.”); [0071].
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`Element [1a.ii]: Blegen also discloses that one of the “conditions”
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`associated with advertisement information can be “a specified time period.” Ex.
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`1004, [0039] (“Specified conditions can include, for example, the occurrence of a
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`specified time period, a user-interaction with mobile device 216, and the like.”);
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`see also [0004]-[0005]. Blegen teaches that an “ad selection component 322 can
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`search ad store 324” to “retrieve advertisement” information “appropriate for
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`presentation to the user at the specified and/or predicted times, locations, and the
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`like.” Id., [0071] (emphasis added). For example, the specified time period can be
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`“afternoon” on a certain date, such as “Sep. 26, 2008.” Id., [0068]; see also
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`[0003]-[0005], [0067].
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`Blegen discloses that the advertisement server can use the predicted “geo-
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`temporal” information (e.g., the predicted time period of arrival) to query and
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`retrieve advertisements in the database with matching specified time periods and
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`locations. Id., [0044] (“Ad server 226 can query the index using geo-temporal
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`targeting information in the query definition to select appropriate advertisements to
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`present to users at particular times and in specified geographic locations.”).
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`Blegen teaches that the advertisement is sent to the user when the user is predicted
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`to be at the location within the specific time period. Id., [0085]-[0086], [0014],
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`[0048]. A POSITA would have understood that an “afternoon” on a future date—
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`an example of a time period associated with an advertisement described in Blegen
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`(id., [0067]-[0068])—is a “predetermined maximum amount of time” because it
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`specifies the maximum time window for the predicted arrival of the user at a
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`predetermined location to trigger an advertisement. Ex. 1003, ¶70. Further, a
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`POSITA would have understood that, for example, the specified time period in
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`Blegen can be a predetermined maximum amount of time during which goods or
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`services associated with the advertisement are available. Id.; Ex. 1004, [0044],
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`[0071], [0080]-[0084], Fig. 5. Therefore, Blegen discloses associating
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`advertisement information with a predetermined location and a predetermined
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`maximum amount of time. Ex. 1003, ¶¶67-70.
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`To the extent Patent Owner argues that Blegen does not explicitly disclose
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`Element [1a.ii], this limitation is obvious to a POSITA. Ex. 1003, ¶¶71-73.
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`Blegen’s “ad database 227” stores “attributes associated with an
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`advertisement that indicate situations in which the advertisement should be
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`provided.” Ex. 1004, [0044]. To identify an appropriate situation for providing an
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`advertisement, the system queries the database using a specified time period as a
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`parameter. Id., [0044] (“Ad server 226 can query the index using geo-temporal
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`targeting information in the query definition to select appropriate advertisements to
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`present to users at particular times and in specified geographic locations.”); [0071]
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`(“[A]d selection component 322 can search ad store 324 such as by querying an
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`index associated therewith, and retrieve advertisements that are appropriate for
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`presentation to the user at the specified and/or predicted times, locations, and the
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`like.”); see also Fig. 5 (Steps 516-522 and 526), [0080]-[0084]. A POSITA would
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`have found it obvious to associate advertisements with time attributes, such as a
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`predetermined maximum amount of time, to facilitate Blegen’s querying of the ad
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`database based on the specified time period. Id.; Ex. 1003, ¶¶71-73.
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`Element [1a.iii]: Blegen discloses retrieving advertisement information
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`from one or more data records that associate the advertisement information with a
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`predetermined likelihood, as expressed by a “confidence level threshold.” Ex.
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`1004, [0067].
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`Blegen discloses that a “confidence level” is “an index or attribute that
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`provides information regarding how well the user meets a set of criteria established
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`by an advertisement provider.” Id., [0067]. Accordingly, the confidence level
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`indicates a degree of certainty in prediction that can be expressed as a percentage
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`or probability. Id. (defining a “confidence level” of “80%”). Blegen discloses
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`“select[ing]” a “predetermined threshold,” and comparing the level of certainty of
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`prediction to the “selected” “predetermined threshold.” Id. (“[T]he predetermined
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`threshold [for the confidence level] is selected such that advertising expenditures
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`are maximized with respect to user exposure to the advertisements.”); [0068].
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`A POSITA would have understood from Blegen’s disclosure that the
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`“selected” confidence level threshold is one of the attributes associated with the
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`advertisement information stored in the database. Id.; see also id., [0036]; Ex.
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`1003, ¶¶79-80. To the extent this limitation requires storing data regarding the
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`predetermined threshold in a database, a POSITA would have found it obvious to
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`store the confidence level threshold as an attribute associated with the
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`advertisement. Id. For example, Blegen teaches that “attributes” can be associated
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`with a given advertisement in “a relational database” such that they “indicate
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`situations in which the advertisement should be provided.” Id.; Ex. 1004, [0036],
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`[0044]. It would have been obvious to store information relating to the
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`predetermined confidence threshold as part of such “attributes” in the “relational
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`database.” Id.
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`In the example shown in Figure 6, the system determines a “first confidence
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`level” associated with a prediction that a user device will be at a predetermined
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`location within a specified time period. Ex. 1004, Fig. 6 (Steps 610 and 612),
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`[0086], [0067]. This “first confidence level” refers to the probability that a mobile
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`device will be at a predicted location in the future. Ex. 1003, ¶¶80-81. In response
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`to a prediction that the “first confidence level” exceeds a selected “first
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`predetermined threshold” (i.e., a predetermined likelihood) associated with an
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`advertisement, the advertisement is provided for presentation. Ex. 1004, Fig. 6
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`(Steps 614 and 620); see also [0085]-[0086].
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`Blegen, Fig. 6 (Annotated)
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`Element [1a.iv]: Blegen discloses associating the advertisement information
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`with one or more predetermined actions (e.g., selection and delivery of the
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`advertisement). Ex. 1004, [0071] (“ad selection component 322 can search ad
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`store 324” to “retrieve advertisement” information “appropriate for presentation to
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`the user at the specified and/or predicted times, locations, and the like”), Figs. 2-3.
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`Specifically, Blegen’s “ad database 227” stores “attributes associated with an
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`advertisement that indicate situations in which the advertisement should be
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`provided.” Id., [0044] (emphasis added).
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`A POSITA would have understood from Blegen that the predetermined
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`action (e.g., delivery/presentation or transmission) is associated with the
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`advertisement information. Id., [0036]; E