计算机技术与发展Issue(10)：42-46,5.DOI:10.3969/j.issn.1673-629X.2014.10.010
一种基于情景的协同过滤推荐算法
A Collaborative Filtering Recommendation Algorithm Based on Scenario
摘要
Abstract
The extremely sparse data in collaborative filtering recommendation algorithm often causes the decline of recommendation's precision. In order to solve the problem,suggest a new collaborative filtering recommendation algorithm based on scenario. By introducing the concept of item's scenario-similarity,modify the formula of similarity between users is improved based on item scenario similarity, and then the method has been applied in the procedure of user-clustering in the offline phase and recommendation in the online phase is produced with user-clustering matrix and user evaluation data. The experimental results show that the algorithm can locate the nearest neighbor for target in the condition of sparse data,alleviating some sparsity problem and reducing the time of recommendation in the on-line phase.关键词
推荐系统/情景/协同过滤/稀疏性/聚类Key words
recommendation system/scenario/collaborative filtering/sparsity/clustering分类
信息技术与安全科学引用本文复制引用
李荟,谢强,丁秋林..一种基于情景的协同过滤推荐算法[J].计算机技术与发展,2014,(10):42-46,5.基金项目
江苏省产学研联合创新资金项目(SBY201320423) （SBY201320423）
