| 英文标题 | Collaborative filtering recommendation algorithm based on improved Bhattacharyya coefficient |
| 作者英文名 | Wang Wei, Zhou Gang |
| 机构英文名 | Dept. of Management & Economics,Tianjin University,Tianjin 300072,China |
| 英文摘要 | The traditional neighbor-based collaborative filtering recommendation method has to rely entirely on the common scoring items of users, and the accuracy of prediction in extremely sparse data sets is not high. Bhattacharyya coefficient collaborative filtering algorithm can effectively improve the above problems by using similarity measures for all the score items of a pair of users. But there are two obvious drawbacks to this approach, one is that it fails to consider the case that the number of scoring items of two users is not the same, the other is that there is no targeted consideration for user preferences. This paper improved the Bhattacharyya coefficient collaborative filtering algorithm, which could make full use of all the user's rating information and consider the user's positive rating preference for the project. Comparison of experimental results show that the improved Bhattacharyya coefficient collaborative filtering algorithm obtains better recommendation results on the dataset and improves the accuracy of the recommendation. |
| 英文关键词 | collaborative filtering(CF); Bhattacharyya coefficient collaborative filtering(BCF); similarity measure |