"The devil you know knows best" - How online recommendations can benefit from social networking

People and Computers XXI HCI.But Not as We Know It - Proceedings of HCI 2007: The 21st British HCI Group Annual Conference

Volumn 1, Issue , 2007, Pages

  Bonhard, Philip ^a   Sasse, M Angela ^a   Harries, Clare ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Decision support; Online advice seeking; Recommender systems; Social networking

Indexed keywords

DECISION SUPPORT SYSTEMS; ONLINE SYSTEMS; RECOMMENDER SYSTEMS;

DECISION FACTORS; DECISION SUPPORTS; ONLINE ADVICE-SEEKING; PROFILE SIMILARITIES; RECENT RESEARCHES; SOCIAL CONTEXT; SOCIAL NETWORKING SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 84860524527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.14236/ewic/hci2007.8     Document Type: Conference Paper

References (18)

1. Adomavicius, G., and Tuzhilin, A. Toward the next generation of recommender systems: A survey of the stateof-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17, 6 (2005), 734-749.
2. Berscheid, E., and Reis, H. T. Attraction and close relationships. In The handbook of social psychology Vol. 2. Oxford University Press, Oxford, UK, 1998, 193-281.
3. Bonhard, P., Harries, C., McCarthy, J. D., and Sasse, M. A. Accounting for taste: Using profile similarity to improve recommender systems. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI 2006). ACM Press, New York, NY, 2006, 1057-1066.
4. Bonhard, P., and Sasse, M. A. "I thought it was terrible and everyone else loved it": A new perspective for effective recommender system design. In People and Computers XIX (Proceedings of HCI 2005). Springer Verlag, London, 2005, 251-265.
5. Breese, J. S., Heckerman, D., and Kadie, C. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the fourteenth annual conference on Uncertainty in artificial intelligence. 1998, 43-52.
6. Donath, J., and Boyd, D. Public displays of connection. BT Technology Journal, 22, 4 (2004), 71-82.
7. Golbeck, J., and Hendler, J. FilmTrust: Movie recommendations using trust in web-based social networks. In Proceedings of the IEEE Consumer communications and networking conference. IEEE, 2006, 1314-1315.
8. Herlocker, J. L., Konstan, J. A., Borchers, A., and Riedl, J. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval. ACM Press, New York, NY, 1999, 230-237.
9. Herlocker, J. L., Konstan, J. A., Borchers, A., and Riedl, J. Explaining collaborative filtering recommendations. In Proceedings of the ACM 2000 conference on Computer supported cooperative work. ACM Press, New York, NY, 2000, 241-250.
10. Liu, H., Maes, P., and Davenport, G. Unravelling the taste fabric of social networks. International Journal on Semantic Web and Information Systems, 2, 1 (2006), 42-71.
11. Massa, P., and Avesani, P. Trust-aware collaborative filtering for recommender systems. In Proceedings of the international conference on Cooperative information systems (CoopIS). Springer, Berlin, 2004, 492-508.
12. McLaughlin, M. R., and Herlocker, J. L. A collaborative filtering algorithm and evaluation metric that accurately model the user experience. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. 2004, 329-336.
13. O'Donovan, J., and Smyth, B. Trust in recommender systems. In Proceedings of the international conference on Intelligent user interfaces. 2005, 167-174.
14. O'Reilly, T. http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/ what-is-web-20.html
15. Svensson, M., Höök, K., and Cöster, R. Designing and evaluating kalas: A social navigation system for food recipes. ACM Transactions on Computer-Human Interaction, 12, 3 (2005), 374-400.
16. Swearingen, K., and Sinha, R. Beyond algorithms: An HCI perspective on recommender systems. In Proceedings of ACM SIGIR 2001 workshop on Recommender systems. 2001, 24-33.
17. Terveen, L., and McLaughlin, M. R. Social matching: A framework and research agenda. ACM Transactions on Computer-Human Interaction, 12, 3 (2005), 401-434.
18. USA Today, Valerie Bauman. Web generation preserves memories online, 25-6-2006, http://www.usatoday.com/tech/news/techinnovations/2006-06-25- yearbook-online-x.htm