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dc.contributor.authorElahi M
dc.contributor.authorRepsys V
dc.contributor.authorRicci F
dc.contributor.editorHuemer C
dc.contributor.editorSetzer T
dc.date.accessioned2018-08-07T08:41:45Z
dc.date.available2018-08-07T08:41:45Z
dc.date.issued2011
dc.identifier.isbn978-3-642-23013-4
dc.identifier.issn1865-1348
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-23014-1_14
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-642-23014-1_14
dc.identifier.urihttp://hdl.handle.net/10863/5663
dc.description.abstractThe accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item ratings. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, not all the ratings are equally useful and therefore, in order to minimize the users’ rating effort, only some of them should be requested or acquired. In this paper we consider several rating elicitation strategies and we evaluate their system utility, i.e., how the overall behavior of the system changes when these new ratings are added. We simulate the limited knowledge of users, i.e., not all the rating requests of the system are satisfied by the users, and we compare the capability of the considered strategies in requesting ratings for items that the user experienced. We show that different strategies can improve different aspects of the recommendation quality with respect to several metrics (MAE, precision, ranking quality and coverage) and we introduce a voting-based strategy that can achieve an excellent overall performance.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Business Information Processing;
dc.rights
dc.titleRating Elicitation Strategies for Collaborative Filteringen_US
dc.typeBook chapteren_US
dc.date.updated2018-08-06T15:04:11Z
dc.publication.titleE-Commerce and Web Technologies: 12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011. Proceedings
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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