research-article

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

Authors:

Michael Muller,

Ido GuyAuthors Info & Claims

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 201 - 210

https://doi.org/10.1145/1518701.1518735

Published: 04 April 2009 Publication History

Abstract

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.

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Cited By

Li N(2025)Privacy Attacks Against Relationship on OSNsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_1601(1877-1880)Online publication date: 8-Jan-2025
https://doi.org/10.1007/978-3-030-71522-9_1601
Zou YHan XYu XZhang YShuai Q(2024)Friendship jealousy and interaction needs: how mutual friend features affect users of WeChat MomentsFrontiers in Psychology10.3389/fpsyg.2024.141103415Online publication date: 9-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1411034
Kumar SJain ABisht D(2024)Ant Colony Optimization for Link Prediction in Online Social Networks: A Swarm Intelligence ApproachProceedings of the 2024 Sixteenth International Conference on Contemporary Computing10.1145/3675888.3676123(632-641)Online publication date: 8-Aug-2024
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Index Terms

Make new friends, but keep the old: recommending people on social networking sites
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2009

2426 pages

ISBN:9781605582467

DOI:10.1145/1518701

General Chairs:
Dan R. Olsen
Brigham Young University
,
Richard B. Arthur
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 April 2009

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CHI '09

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Li N(2025)Privacy Attacks Against Relationship on OSNsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_1601(1877-1880)Online publication date: 8-Jan-2025
https://doi.org/10.1007/978-3-030-71522-9_1601
Zou YHan XYu XZhang YShuai Q(2024)Friendship jealousy and interaction needs: how mutual friend features affect users of WeChat MomentsFrontiers in Psychology10.3389/fpsyg.2024.141103415Online publication date: 9-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1411034
Kumar SJain ABisht D(2024)Ant Colony Optimization for Link Prediction in Online Social Networks: A Swarm Intelligence ApproachProceedings of the 2024 Sixteenth International Conference on Contemporary Computing10.1145/3675888.3676123(632-641)Online publication date: 8-Aug-2024
https://dl.acm.org/doi/10.1145/3675888.3676123
Yu JAngélica LLattanzi SMuñoz Medina AAkoglu LGionis AVassilvitskii S(2024)Lessons Learnt from Building Friend Recommendation SystemsProceedings of the 17th ACM International Conference on Web Search and Data Mining10.1145/3616855.3635750(1188-1189)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1145/3616855.3635750
Chen JPham DTran S(2024)Building Consumer Engagement in Live Streaming on Social Media: A Comparison of Facebook and Instagram LiveInternational Journal of Human–Computer Interaction10.1080/10447318.2024.231327641:2(1119-1139)Online publication date: 14-Feb-2024
https://doi.org/10.1080/10447318.2024.2313276
Dutta LMaji GSen S(2024)Mutual Interest-Based Twitter Followee Recommendation Using Latent Dirichlet Allocation Topic ModellingJournal of The Institution of Engineers (India): Series B10.1007/s40031-024-01125-9Online publication date: 9-Aug-2024
https://doi.org/10.1007/s40031-024-01125-9
Ziya FKumar S(2024)GSVAELP: integrating graphSAGE and variational autoencoder for link predictionMultimedia Tools and Applications10.1007/s11042-024-20123-zOnline publication date: 31-Aug-2024
https://doi.org/10.1007/s11042-024-20123-z
Hu GLiu CTuo JZhang M(2024)Efficient and Secure Count Queries on Encrypted Genomic DataFrontiers in Cyber Security10.1007/978-981-99-9331-4_16(240-251)Online publication date: 4-Jan-2024
https://doi.org/10.1007/978-981-99-9331-4_16
Luria M(2023)Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and PrototypesProceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency10.1145/3593013.3594064(1076-1087)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3593013.3594064
Shi JChaurasiya VLiu YVij SWu YKanduri SShah NYu PSrivastava NShi LVenkataraman GYu JChen HDuh WHuang HKato MMothe JPoblete B(2023)Embedding Based Retrieval in Friend RecommendationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591848(3330-3334)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591848
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