Comparing User Rating-Based Similarity to User Behavior-Based Similarity in Movie Recommendation Systems
Author:
Affiliation:
1. State University of Malang,Departement of Electrical Engineering,Malang,Indonesia
2. Gadjah Mada University,Departement of Information Technology and Electrical Engineering,Yogyakarta,Indonesia
Funder
Directorate General of Higher Education (Dikti)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967837/9967803/09967884.pdf?arnumber=9967884
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1. A new method to find neighbor users that improves the performance of Collaborative Filtering
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3. CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems
4. Combined Recommendation Algorithm Based on Improved Similarity and Forgetting Curve
5. Improvement of collaborative filtering using rating normalization
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1. Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets;IEEE Access;2024
2. Enhancing Movie Recommendations: An Ensemble-Based Deep Collaborative Filtering Approach Utilizing AdaMVRGO Optimization;Traitement du Signal;2023-12-30
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