A Collaborative Filtering Recommendation Algorithm Based on Cloud Model, Item Attribute and User Data
2014 ◽
Vol 610
◽
pp. 747-751
Keyword(s):
Aiming at the problems of extremely sparse of user-item rating data and poor recommendation quality, we put forward a collaborative filtering recommendation algorithm based on cloud model, item attribute and user data which combined with the existing literatures. A rating prediction algorithm based on cloud model and item attribute is proposed, based on idea that the similar users rating for the same item are similar and the same user ratings for the similar items are similar and stable. Through compare and analysis this paper’s and other studies experimental results, we get the conclusion that the rating prediction accuracy is improved.
2013 ◽
Vol 32
(3)
◽
pp. 658-660
◽
Industrialization Research and Realization of Preprocessing in Rough Set Based on Similar Prediction
2012 ◽
Vol 251
◽
pp. 185-190
2014 ◽
Vol 610
◽
pp. 717-721
◽
2013 ◽
Vol 765-767
◽
pp. 989-993