Proposing a novel method for improving the performance of collaborative filtering systems regarding the priority of similar users
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DOI: 10.1016/j.physa.2019.04.257
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- Ramezani, Mohsen & Moradi, Parham & Akhlaghian, Fardin, 2014. "A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 72-84.
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Cited by:
- Latha, R., 2022. "Enhancing recommendation competence in nearest neighbour models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
- Rashidi, Rahim & Khamforoosh, Keyhan & Sheikhahmadi, Amir, 2020. "An analytic approach to separate users by introducing new combinations of initial centers of clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
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Keywords
Recommender systems; Collaborative filtering; Users’ priority; Personalization; Similarity value;All these keywords.
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