Mixed Similarity Diffusion for Recommendation on Bipartite Networks

In recommender systems, collaborative filtering technology is an important method to evaluate user preference through exploiting user feedback data, and has been widely used in industrial areas. Diffusion-based recommendation algorithms inspired by diffusion phenomenon in physical dynamics are a cru...

書誌詳細
出版年:	IEEE Access
主要な著者:	Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2017-01-01
主題:	Recommender systems diffusion processes bipartite networks collaborative filtering
オンライン･アクセス:	https://ieeexplore.ieee.org/document/8039492/

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