document: Nantonac collaborative filtering : recommendation based on order responses A recommender system suggests the items expected to be preferred by the users . Recommender systems use collaborative filtering to recommend items by summarizing the preferences of people who have tendencies similar to the user preference . Traditionally , the degree of preference is represented by a scale , for example , one that ranges from one to five . This type of measuring technique is called the semantic differential ( SD ) method . Web adopted the ranking method , however , rather than the SD method , since the SD method is intrinsically not suited for representing individual preferences . In the ranking method , the preferences are represented by orders , which are sorted item sequences according to the users ' preferences . We here propose some methods to recommed items based on these order responses , and carry out the comparison experiments of these methods .
doc_bio_tags: O B I O O O O B O O B I O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O