Ratio-based Collaborative Filtering Algorithms

摘要：

Collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. we propose a new collaborative filtering algorithms, ratio-based collaborative filtering algorithms, by calculating the ratio between the ratings of one item and another for users who rated both to predict the ratings. Ratio-based collaborative filtering algorithms are easy to implement, and have reasonably accurate, by factoring in the weighted average methods and the preference parameter, we achieve results competitive with traditional memory-based algorithms over the Movielens data sets. The result is sufficient to support our claim.

作者: Yaqiu Liu Zhendi Wang Man Li

作者单位: Northeast Forestry University,Harbin,China Heilongjiang Institute of Science and Technology,Harbin,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 643-646

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）