In this paper, Hesitation Degree was proposed to improve the accuracy of user based collaboration filtering and three kinds of Hesitation Degree were introduced ...
Hemitation Degree was proposed to improve the accuracy of user based collaboration filtering and three kinds of Hesitation Degree were introduced into ...
An Improved Similarity Algorithm Based on Hesitation Degree for ...
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Researchers have devised a number of collaborative filtering algorithms that can be divided into two main categories, User-based and Item-based algorithms [6].
Collaborative Filtering plays a very important role in web service personalization and Recommender System. In this paper, Hesitation Degree was proposed to ...
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Bibliographic details on An Improved Similarity Algorithm Based on Hesitation Degree for User-Based Collaborative Filtering.
Collaborative Filtering plays a very important role in web service personalization and Recommender System. In this paper, Hesitation Degree was proposed to ...
In this paper, Hesitation Degree was proposed to improve the accuracy of collaboration filtering both based on item and user, kinds of Hesitation Degree were ...
Sep 24, 2018 · We proposed an improved similarity model, which takes three impact factors of similarity into account to minimize the deviation of similarity calculation.
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Discover more about: Collaborative Filtering. Conference Paper. An Improved Similarity Algorithm Based on Hesitation Degree for User-Based Collaborative ...
The processing of a sparse matrix is a hot topic in the recommendation system. This paper applies the method of hesitant fuzzy set to study the sparse ...