Collaborative filtering based on opinion mining and user preference learning
Haiyang Jiang · Jisuanji yingyong yanjiu · 2010
This paper proposed a new method that made use of text comments,discovered the aspects user matters,then predicated the rating for each aspect. It learned user's preference from the past rating regard to the aspect ratings. Using the user preference and the aspect ratings,it generated the predicated ratings. Experiments show that the proposed method is more accuracy than the classic ones.