"Expert Systems with Applications" . "2012" . "14" . "Eckhardt, Alan" . . . . "Similarity of users' (content-based) preference models for Collaborative filtering in few ratings scenario"@en . . "11320" . "Similarity of users' (content-based) preference models for Collaborative filtering in few ratings scenario"@en . . "167879" . . "6"^^ . "1"^^ . "Similarity of users' (content-based) preference models for Collaborative filtering in few ratings scenario" . "1"^^ . "0957-4174" . . "Machine learning; Preference learning; Collaborative filtering"@en . "Collaborative filtering is an efficient way to find best objects to recommend. This technique is particularly useful when there is a lot of users that rated a lot of objects. In this paper, we propose a method that improve the Collaborative filtering in situations, where the number of ratings or users is small. The pro- posed approach is experimentally evaluated on real datasets with very convincing results."@en . . "P(GAP202/10/0761), P(GD201/09/H057), S" . "Collaborative filtering is an efficient way to find best objects to recommend. This technique is particularly useful when there is a lot of users that rated a lot of objects. In this paper, we propose a method that improve the Collaborative filtering in situations, where the number of ratings or users is small. The pro- posed approach is experimentally evaluated on real datasets with very convincing results." . "RIV/00216208:11320/12:10121238" . . . "[A203636407C3]" . . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . . . . "000305597700001" . "Similarity of users' (content-based) preference models for Collaborative filtering in few ratings scenario" . . . "10.1016/j.eswa.2012.01.177" . "http://www.sciencedirect.com/science/article/pii/S0957417412002059" . "RIV/00216208:11320/12:10121238!RIV13-GA0-11320___" . . .