Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking
Author:
Affiliation:
1. University of Sao Carlos, Sao Carlos, Brazil
Funder
CNPq
Capes
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2976796.2976852
Reference17 articles.
1. Context-Aware Recommender Systems
2. Ensemble Learning in Recommender Systems
3. Enhancing the accuracy of ratings predictions of video recommender system by segments of interest
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