To address this problem, we associate popular items and niche item via item features. The correlation between items are calculated by meta-path similarity ...
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Wolpers, “A new collaborative filtering approach for increasing the aggregate diversity of recommender systems,” in. Proceedings of the 19th ACM SIGKDD ...
In other studies run on improving the aggregate diversity together with other dimensions of recommender systems, techniques such as matrix factorization [11 ...
Recommender systems are more inclined to recommend popular items that maintain sufficient user feedback while ignoring niche items that have been rated by a ...
Bibliographic details on Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems.
Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems. Y. Liu, J. Wang, Y. Jiang, J. Sun, and C. Sun. DSC, page 412-417.
Recommender system gives recommendations for its user and one of the important quality aspects of the recommendations is diversity. In this paper,.
[PDF] Using Ranking – Based Techniques Improvement of Aggregate ...
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of recommender system on items diversity according to aggregate diversity of recommendations among all users. For example ,if there is recommendation of ...
In item-based top-N recommender systems, the recommendation results are generated based on item correlation computation among all users.
May 3, 2024 · In this paper, we introduce a novel approach to improve the diversity of Top-N recommendations while maintaining recommendation performance. Our ...