Intelligent Information Recommendation Algorithm based on Collaborative Filtering

Author:

Sheng Dan1

Affiliation:

1. Wuhan Qingchuan University, China

Publisher

ACM

Reference15 articles.

1. TasteMiner: Mining partial tastes for neighbor-based collaborative filtering

2. Li G , Chen Q , Li L . Collaborative Filtering Recommendation Algorithm Based on Rating Prediction and Ranking Prediction. Tien Tzu Hsueh Pao/acta Electronica Sinica , vol. 45 , no. 12, pp. 3070-3075, 2017. Li G , Chen Q , Li L . Collaborative Filtering Recommendation Algorithm Based on Rating Prediction and Ranking Prediction. Tien Tzu Hsueh Pao/acta Electronica Sinica, vol. 45, no. 12, pp. 3070-3075, 2017.

3. Network-based collaborative filtering recommendation model for inferring novel disease-related miRNAs

4. Combat Information Overload Problem;Zhang X S;Social Networks With Intelligent Information-Sharing and Response Mechanisms. IEEE Transactions on Computational Social Systems,2020

5. Tong C , Qi J , Lian Y , TimeTrustSVD: A collaborative filtering model integrating time, trust and rating information. Future generation computer systems , vol. 93 , no. APR , pp. 933 - 941 , 2019 . Tong C , Qi J , Lian Y , TimeTrustSVD: A collaborative filtering model integrating time, trust and rating information. Future generation computer systems, vol. 93, no. APR, pp. 933-941, 2019.

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