Content-based book recommending using learning for text categorization Export

@inproceedings{citeulike:1170716, abstract = {Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use collaborative filtering methods that base recommendations on other users' preferences. By contrast, content-based methods use information about an item itself to make suggestions. This approach has the advantage of being able to recommend previously unrated items to users with unique interests...}, address = {San Antonio, US}, author = {Mooney, Raymond J. and Roy, Loriene}, booktitle = {Proceedings of DL-00, 5th {ACM} Conference on Digital Libraries}, citeulike-article-id = {1170716}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.3696}, keywords = {categorization, cf, collaborative-filtering, ir, recommender, text}, pages = {195--204}, posted-at = {2007-03-17 20:59:46}, priority = {2}, publisher = {ACM Press, New York, US}, title = {Content-based book recommending using learning for text categorization}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.3696}, year = {2000} }

TY - CONF ID - citeulike:1170716 L3 - citeulike-article-id:1170716 N2 - Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use collaborative filtering methods that base recommendations on other users' preferences. By contrast, content-based methods use information about an item itself to make suggestions. This approach has the advantage of being able to recommend previously unrated items to users with unique interests... AD - San Antonio, US EP - 204 TI - Content-based book recommending using learning for text categorization PB - ACM Press, New York, US T2 - Proceedings of DL-00, 5th {ACM} Conference on Digital Libraries SP - 195 KW - categorization KW - cf KW - collaborative-filtering KW - ir KW - recommender KW - text AU - Mooney, Raymond AU - Roy, Loriene PY - 2000/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.3696 ER -