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CHI
2009
ACM

Make new friends, but keep the old: recommending people on social networking sites

9 years 3 months ago
Make new friends, but keep the old: recommending people on social networking sites
This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender algorithms in an enterprise social networking site using a personalized survey of 500 users and a field study of 3,000 users. We found all algorithms effective in expanding users’ friend lists. Algorithms based on social network information were able to produce better-received recommendations and find more known contacts for users, while algorithms using similarity of user-created content were stronger in discovering new friends. We also collected qualitative feedback from our survey users and draw several meaningful design implications. Author Keywords Social networking, friend, recommender system ACM Classification Keywords H.5.3 Information Interfaces and Presentation (e.g., HCI): Group and Organization Interfaces.
Jilin Chen, Werner Geyer, Casey Dugan, Michael J.
Added 22 Jul 2010
Updated 22 Jul 2010
Type Conference
Year 2009
Where CHI
Authors Jilin Chen, Werner Geyer, Casey Dugan, Michael J. Muller, Ido Guy
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