%0 Book Section %1 citeulike:1738250 %A Webster, Andrew %A Vassileva, Julita %B Proceedings of User Modeling 2007 %C Berlin, Heidelberg %D 2007 %E Conati, Cristina %E McCoy, Kathleen %E Paliouras, Georgios %I Springer %J User Modeling 2007 %K news recommender social-navigation social-network %P 278--287 %R 10.1007/978-3-540-73078-1_31 %T Push-Poll Recommender System: Supporting Word of Mouth User Modeling 2007 %U http://dx.doi.org/10.1007/978-3-540-73078-1_31 %V 4511 %X Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending items is largely ignored. We propose a recommender system that works directly with these networks to distribute and recommend items: the informal exchange of information (word of mouth communication) is supported rather than replaced. The paper describes the push-poll approach and evaluates its performance at predicting user ratings for movies against a collaborative filtering algorithm. Overall, the push-poll approach performs significantly better while being computationally efficient and suitable for dynamic domains (e.g. recommending items from RSS feeds). %& 31 %@ 978-3-540-73077-4

@incollection{citeulike:1738250, abstract = {{Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending items is largely ignored. We propose a recommender system that works directly with these networks to distribute and recommend items: the informal exchange of information (word of mouth communication) is supported rather than replaced. The paper describes the push-poll approach and evaluates its performance at predicting user ratings for movies against a collaborative filtering algorithm. Overall, the push-poll approach performs significantly better while being computationally efficient and suitable for dynamic domains (e.g. recommending items from RSS feeds).}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {Berlin, Heidelberg}, author = {Webster, Andrew and Vassileva, Julita}, biburl = {https://www.bibsonomy.org/bibtex/2eb622e0215d1fbab1775464806b55081/aho}, booktitle = {Proceedings of User Modeling 2007}, chapter = 31, citeulike-article-id = {1738250}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-73078-1_31}, citeulike-linkout-1 = {http://www.springerlink.com/content/h002jm4776253211}, doi = {10.1007/978-3-540-73078-1_31}, editor = {Conati, Cristina and McCoy, Kathleen and Paliouras, Georgios}, interhash = {6aadf56e6450423d5d2e5d584360bb8d}, intrahash = {eb622e0215d1fbab1775464806b55081}, isbn = {978-3-540-73077-4}, issn = {0302-9743}, journal = {User Modeling 2007}, keywords = {news recommender social-navigation social-network}, pages = {278--287}, posted-at = {2007-10-08 03:14:02}, priority = {4}, publisher = {Springer}, series = {LNCS}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Push-Poll Recommender System: Supporting Word of Mouth User Modeling 2007}}, url = {http://dx.doi.org/10.1007/978-3-540-73078-1_31}, volume = 4511, year = 2007 }