Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
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GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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ViewSer: a tool for large-scale remote studies of web search result examination
CHI '11 Extended Abstracts on Human Factors in Computing Systems
ViewSer: enabling large-scale remote user studies of web search examination and interaction
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Proceedings of the fifth ACM international conference on Web search and data mining
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ICCMSN'08 Proceedings of the First international conference on Computer-Mediated Social Networking
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In this paper, we summarized recent work in modeling how users socially forage and search for information. One way to bridge between different communities of users is to diversify their information sources. This can be done using not only old mechanisms such as email, instant messages, newsgroups and bulletin boards, but also new ones such as wikis, blogs, social tags, etc. How do users work with diverse hints from other foragers? How do interference effects change their strategies? How can we build tools that help users cooperatively search? We seek theories that might help us answer these questions, or at least point us toward the right directions.