Whom should I trust?: the impact of key figures on cold start recommendations Export

@inproceedings{citeulike:3762836, abstract = {Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evidence suggests that the incorporation of a trust network among the users of the RS can leverage such 'cold start' (CS) recommendations. Hence, new users should be encouraged to connect to the network as soon as possible. But whom should new users connect to? Given the impact this choice has on the delivered recommendations, it is critical to guide newcomers through this early stage connection process. In this paper, we identify key figures in the trust network (in particular mavens, connectors and frequent raters) and investigate their influence on the coverage and accuracy of a collaborative filtering RS. Using a dataset from Epinions.com, we demonstrate that the generated recommendations for new user are more beneficial if they connect to an identified key figure compared to a random user.}, address = {New York, NY, USA}, author = {Victor, Patricia and Cornelis, Chris and Teredesai, Ankur M. and De Cock, Martine}, booktitle = {SAC '08: Proceedings of the 2008 ACM symposium on Applied computing}, citeulike-article-id = {3762836}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1364174}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1363686.1364174}, doi = {10.1145/1363686.1364174}, isbn = {978-1-59593-753-7}, keywords = {recommendations, trust}, location = {Fortaleza, Ceara, Brazil}, pages = {2014--2018}, posted-at = {2009-03-14 10:01:28}, priority = {2}, publisher = {ACM}, title = {Whom should I trust?: the impact of key figures on cold start recommendations}, url = {http://dx.doi.org/10.1145/1363686.1364174}, year = {2008} }

TY - CONF ID - citeulike:3762836 L3 - citeulike-article-id:3762836 N2 - Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evidence suggests that the incorporation of a trust network among the users of the RS can leverage such 'cold start' (CS) recommendations. Hence, new users should be encouraged to connect to the network as soon as possible. But whom should new users connect to? Given the impact this choice has on the delivered recommendations, it is critical to guide newcomers through this early stage connection process. In this paper, we identify key figures in the trust network (in particular mavens, connectors and frequent raters) and investigate their influence on the coverage and accuracy of a collaborative filtering RS. Using a dataset from Epinions.com, we demonstrate that the generated recommendations for new user are more beneficial if they connect to an identified key figure compared to a random user. CY - Fortaleza, Ceara, Brazil SN - 978-1-59593-753-7 AD - New York, NY, USA EP - 2018 TI - Whom should I trust?: the impact of key figures on cold start recommendations PB - ACM T2 - SAC '08: Proceedings of the 2008 ACM symposium on Applied computing SP - 2014 KW - recommendations KW - trust AU - Victor, Patricia AU - Cornelis, Chris AU - Teredesai, Ankur AU - De Cock, Martine PY - 2008/// UR - http://dx.doi.org/10.1145/1363686.1364174 ER -