Abstract
Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative relationships in recommender systems can be represented as a social network. In this paper we propose several measures to analyse collaboration based on social network analysis. Once these measures are explained, we use them to evaluate a concrete example of collaboration in a real recommender system.
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References
Adamic, L.A., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211–230 (2003)
Balabanovic, M., Shoham, Y.: Combining content-based and collaborative recommendation. In: Communications of the ACM (1997)
Barnes, J.: Social Networks. Addison-Wesley, Reading, MA (1972)
Borgatti, F.L., Everett, S.P., Ucinet, M.G.: for windows: Software for social network analysis. Harvard: Analytic technologies (2002)
Gibson, D., Kleinberg, J.M., Raghavan, P.: Inferring web communities from link topology. In: UK Conference on Hypertext, pp. 225–234 (1998)
Good, N., Schafer, J., Konstan, J., Borchers, A., Sarwar, B., Herlocker, J., Riedl, J.: Combining collaborative filtering with personal agents for better recommendations. In: Proceedings of AAAI, vol. 35, pp. 439–446. AAAI Press, Menlo Park (1999)
Hanneman, R.A.: Introduction to Social Network Methods. (2001), http://faculty.ucr.edu/~hanneman/SOC157/NETTEXT.PDF
Krebs, V.: Data mining email to discover social networks and communities of practice (2003), http://www.orgnet.com/email.html
Montaner, M.: Collaborative Recommender Agents Based on Case-Based Reasoning and Trust. PhD thesis, Universitat de Girona (September 2003)
Montaner, M., López, B., de la Rosa, J.: Developing trust in recommender agents. In: Castelfranchi, C., Johnson, W.L. (eds.) Proceedings of the AAMAS 2002, Bologna, pp. 304–305. ACM Press, New York (2002)
Montaner, M., López, B., de la Rosa, J.: Evaluation of recommender systems through simulated users. In: To be published in the 6th International Conference on Enterprise Information Systems (ICEIS 2004), Porto (Portugal) (April 2004)
Papakyriazis, N., Boudourides, M.: Electronic weak ties in network organizations (2001)
Pujol, J., Sanguesa, R., Delgado, J.: A Ranking Algorithm Based on Graph Topology to Generate Reputation or Relevance, ch. 18, pp. 382–395. Springer, Heidelberg (2003)
Resnick, P., Varian, H.: Recommender systems. Communications of the ACM, 56–58 (1997)
Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: Proceedings of the AAMAS 2002, Bologna, Italy, July 15-19, pp. 475–482 (2002)
Scott, J.: Social network analysis. Sage, London (1991)
Venkatraman, M., Yu, B., Singh, M.: Trust and reputation management in a small-world network. In: Proceedings of Fourth International Conference on Multi Agent Systems, pp. 449–450 (2000)
Wasserman, S., Galaskiewicz, J.: Advances in Social Network Analysis. Sage Publications, Thousand Oaks (October 1994)
Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., Haythornthwaite, C.: Computer networks as social networks: Collaborative work, telework, and virtual community. Annual Review of Sociology 22, 213–238 (1996)
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Palau, J., Montaner, M., López, B., de la Rosa, J.L. (2004). Collaboration Analysis in Recommender Systems Using Social Networks. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds) Cooperative Information Agents VIII. CIA 2004. Lecture Notes in Computer Science(), vol 3191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30104-2_11
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DOI: https://doi.org/10.1007/978-3-540-30104-2_11
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