ITEM-BASED COLLABORATIVE FILTERING IN THE MULTI-CRITERIA RECOMMENDER SYSTEM WITH ORDERED WEIGHTED AVERAGING OPERATOR ON SPARSE DATASETS

17/03/2021 09:54:22 | Người đăng tin: ntnha
At present, the demand for consulting for users is increasing with diverse information. Multi-criteria Recommender system is one of the research goals of scientists that are great interest. Many recommender methods are designed to find the most valuable products or services that suggest to user are consulted best. Selecting a suitable solution for recommendation on data storage will response well the requirements of the users. In this paper, we propose a new approach to building
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