Collaborative Filtering Recommendation Based on Preference Order
Li Yu, Xiaoping Yang · 2007
Collaborative filtering is an important personalized method in recommender systems in E-commerce. It is infeasible that traditional collaborative filtering is based on absolute rating for items since users are difficult to accurately make an absolute rating for items, and also different users give different rating distribution. In this paper, an improved collaborative filtering algorithm based on preference order of items is proposed, which user only give rating order of items. The presented method enhances collaborative filtering by improving accuracy and adeptness. An example is provided to verify the method.