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`mu AUTHORé ANCHQR TEXT TEREVKS)
`AFFiNiTY PROCESSENG
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`iNTERNET
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`192
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`CORPUS
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`SOURCE
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`ANCHOR TEXT/
`
`DESTENATEON
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`TREPLETS
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`DQMAN
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`->TERM
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`AFFENETY
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`SCORES
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`DOMAEN
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`(AUTHOR)
`iNFLUENCE
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`SCORES
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`
`AUTHGR 9 TERM
`
`AFFENETY SCQRENG
`
`SYSTEM
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`m
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`FPS-3.1
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`M m AUTHOR9 QUERY TERM
`AFRRRY PROCESSENG
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`TNTERNET
`w
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`DQMAEN A
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`F DORE/RN E
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`DOMAEN R
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`-
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`BQMRR
`
`(AUTHQR)
`9 TERM
`AFFENETY
`
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`SCORES
`m
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`RESULTS
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`QUERY
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`II M
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`QUERY TERM 2
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`2023
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`QUERY TERM N
`
`EGZN
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`
`1 AUTHOR e QUERY
`SEARCH
`AFFENETY SCORENG
`SYSTEM
`&
`M
`
`
`SEARCH RESULTS RANKENG SYSTEM
`
`USENG CQMRUTED AUTHOR 9 QUERY AEFTNTTY SCORES
`
`fl
`
`RANKED SEARCH RESULTS (RESULTS 0RDERED
`WTTH STRONG AUTHOR 9 QUERV AEFENETY SCORES
`
`BEFORE WEAK AUTHQRé AEEENETY SCQRES)
`m
`
`EEG, 2
`
`
`
`AUTHOR (DOiViAiN) 9 TERM AFFiNiTY
`OFFLENE PRGCESSTNG 3Q
`
`
`Coiieet
`Source Authnr- Anchor Text- Destination Author N 30
`
`triptets
`
`
`
`
`
`2
`
`
`
`
`
`Access triplets by:
`Anchor Text, Destination N
`Author, Source Authpr
`
`
`
`
`
`1
`
`
`/\/ 306
`i
`neMAN
`
`
`
`(Aprnee)
`iNFLUENCE
`
`scenes
`i
`
`Repeat for each unique
`/\/ 3’08
`
`Anchor Text-Destination Author combo
`1
`
`
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`l
`
`
`
`
`
`
`AFFTNETY
`
`For each Destination Author, Compete for same Term
`appearing in any one or more at the Destination Author's
`Anchor Texts) eg. for Term 1 appearing in Anchpr Texts
`A. B
`N:
`Destination Author 9 Term Affinity Score =
`Sum of {iDF_Shere{Term t) xAnchor Text A Score 81) +
`(tDi-‘__Shere("i'errn 1) X Anchor Text E Score 82) +
`
`304
`
`
`
`For each unique Anchor Text—Destination Aether cameo:
`Anchor Text Score 3’: = Sum of Author_influence
`e_ii
`Seurce Authors on Destination Author
`
`
`
`
`
`
`
`
`
`Access triplets by:
`Destination Author, Scared {\j 3’16
`Anchc-r Texts, Terms of the
`scored Anchor Texts
`
`
`
`j
`'
`t: .i
`”h
`r
`Fo. eee .Anehor Tex. pant ng ne pest nation Arnthor,
`Compute ier each Term appearing in the Anchor text:
`iDF_Shere(Term) retetive tc- eii Terms appearing in the Anchor;
`Text, eg. torAnchpr Text hevrng two Terms, Term 1 and Term 2,
`
`t
`Repeat for nex-r
`Term
`eg. Term 2
`
`iDFHShereiTerm 1:) e iDF(Terrn t)/(iDF(Term1) + iDFiTerm 2))
`
`
`/\/ 316
`
`
`
`312E
`
`inverse
`roument
`Erequency
`GDP)
`at each term
`appeanngin
`the Corpus of
`Documents
`
`DOMAEN
`(AUTHOR)
`9 TERM
`
`SCEZES
`
`(EDFHShereiTerm 1) x Ancher Text N Score Sn)
`
`
`
`NBtS
`i
`
`
`
`
`
`
`
`Repeat for next Term, eg Term 2
`
`FTG.3
`
`
`
`AUTHOR 9 QUERY AFFENETY
`
`ONLENE PRQCESSENGfl
`
`
`
`Query Terrn 2
`
`Query Term n
`
`
`
`Begin Search Reeuit
`
`Auther9 Query Affinity Scoring
`
`
`
`For each Query Tenn contained in a Search Reeult:
`
`Leekup the Author 9 Tenn Affinity Seore, if not
`found set to zero
`
`fl
`
`oounm
`
`(AUTHOR)
`-> TERM
`
`AFFnery
`
`
`
`
`
`g Receive Querywith QueryTerm 1, {\J 402
`
`
`i
`Obtain Search Results Returned f\/ 494
`
`
`from a search for the Query
` QUERYTERMS II
`[g406
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`l
`/\J408
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`[V410
`
`
`
`scenes
`
`n4
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`
`
`Compute Author9 Query Affinity for the Auther {Domain}
`
`
`
`
`
`of the Search Resuit ueing Loekuo eoeres:
`
`Autner9 Query Affinity = SUM of:
`
`Author 9 Term ’3 Affinity Score in
`
`Author 9 Term 2 Affinity Score +
`
`Author 9 Tenn N Affinity Score
`
`
`
`
`
`Repeat for next Search Result
`
`
`
`[\1412
`l
`
`l
`[V414
`
`
`RANK Search Reeuite based on
`
`
`
`Computed Auther9 Query Affinity
`
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