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- Title
Movie Recommendation Algorithms Based on an Improved Pythagorean Hesitant Fuzzy Distance Measure and VIKOR Method.
- Authors
Cui, Chunsheng; Wei, Meng; Che, Libin; Yang, Peng
- Abstract
With the growing popularity of movies as a source of entertainment and relaxation in modern society, movie recommendation systems have become increasingly important for helping viewers navigate a vast selection of movie products. However, existing methods may not accurately capture the preferences and opinions of viewers. To address this gap, we propose a novel approach that utilizes the Pythagorean hesitant fuzzy distance measure in combination with the VIKOR method to deal with the extracted review information and evaluate the similarity between different movies in a given genre. We then transform this information into Pythagorean hesitant fuzzy attribute evaluation terms using the Probabilistic Linguistic Term Set (PLTS) and apply conflict degree theory to calculate similarity scores. The algorithm proposed in this paper employs the VIKOR method to select recommended movie products that match the preferences of users and satisfy their needs. Comparative analysis demonstrates its reliability and stability. In addition, according to the comparative data, its performance is better than the comparable method in the selection of alternative schemes, which highlights its contribution in the field of movie recommendation systems.
- Subjects
FUZZY sets; FUZZY measure theory; PYTHAGOREAN theorem; RECOMMENDER systems; TOPOLOGICAL degree; MODERN society; CONFLICT theory; ALGORITHMS
- Publication
International Journal of Fuzzy Systems, 2024, Vol 26, Issue 2, p513
- ISSN
1562-2479
- Publication type
Article
- DOI
10.1007/s40815-023-01611-0