图 书 馆
社会化推荐系统Recommender Systems with Social Regularization |
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| 课程网址: | http://videolectures.net/wsdm2011_lyu_rss/ |
| 主讲教师: | Michael R. Lyu |
| 开课单位: | 耶鲁大学 |
| 开课时间: | 2011-08-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Although Recommender Systems have been comprehensively analysed in the past decade, the study of social-based recommender systems just started. In this paper, aiming at providing a general method for improving recommender systems by incorporating social network information, we propose a matrix factorization framework with social regularization. The contributions of this paper are four-fold: (1) We elaborate how social network information can benefit recommender systems; (2) We interpret the differences between social-based recommender systems and trust-aware recommender systems; (3) We coin the term Social Regularization to represent the social constraints on recommender systems, and we systematically illustrate how to design a matrix factorization objective function with social regularization; and (4) The proposed method is quite general, which can be easily extended to incorporate other contextual information, like social tags, etc. The empirical analysis on two large datasets demonstrates that our approaches outperform other state-of-the-art methods. |
| 关 键 词: | 全面分析; 推荐系统; 目标函数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-27：yumf |
| 阅读次数: | 159 |