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Web 2.0 / Blog hosting services / Social media / Information retrieval / Recommender system / Collaborative filtering / Social networking service / Six degrees of separation / Orkut / World Wide Web / Social information processing / Collaboration


“Make New Friends, but Keep the Old” – Recommending People on Social Networking Sites Jilin Chen*, Werner Geyer**, Casey Dugan**, Michael Muller**, Ido Guy*** *University of Minnesota 200 Union Street SE Minneapoli
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Document Date: 2011-02-01 07:35:27

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Ellison / Boston / /

Company

IBM / ACM Group / Facebook / Recommender Systems / Beehive / MySpace / /

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United States / Israel / /

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USD / /

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Facility

University of Minnesota / /

IndustryTerm

people recommendation systems / social matching systems / social networking sites / social networking site / pure content matching algorithm / friend-of-friend algorithms / content similarity algorithms / Online User Profiles / friend-of-friend algorithm / content-plus-link algorithm / above algorithm / control / content matching algorithm / content-pluslink algorithm / prime real estate / people recommendation algorithms / personalized online survey / heterogeneous network / online communities / larger / large network / social networking / job networking / experimental groups / social networks / social network / enterprise social networking / online social network / by occupying prime real estate / /

Organization

IDF / University of Minnesota / /

Person

Michael Muller / Carmel Haifa / Charles / Casey Dugan / Alice / Werner Geyer / /

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Position

Griffiths-Fisher / senior executive / Author / Porter / /

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New Brunswick / /

Technology

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http /

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