Enhancing Collaborative Filtering by User Interest Expansion via
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking 报告人:李婷 山东大学计算机学院
• 出处: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 1, FEBRUARY 2012 • 作者:Qi Liu,Enhong chen • 中国科技大学 • 研究方向: intelligent data analysis,personalized recommender systems,and Web information processing 山东大学计算机学院
Contents • I. Introduction • II. User interstest expansion • III. Experimental results 山东大学计算机学院
II. User interstest expansion-A. The Framework of the i. Expand Model
II. User interstest expansion-A. The Framework of the i. Expand Model
II. User interstest expansion-C. Correlation Graph of User Interests φij表示特征在商品上的概率: Ψij表示从Ti到Tj的转换概率:
II. User interstest expansion- E. From Expanded User Interests to the Item Recommendation • i. Expand可直接推荐,无需预测评分。 • 我们周期性的离线更新推理过程及关系图,同时更新用户兴趣。
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