A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations.
Quang-Hung LeToan Nguyen MauRoengchai TansuchatVan-Nam HuynhPublished in: IEEE Access (2022)
Keyphrases
- multi criteria
- deep learning
- dempster shafer theory
- collaborative filtering
- recommender systems
- user preferences
- belief functions
- unsupervised feature learning
- multi attribute
- unsupervised learning
- fusion algorithm
- machine learning
- decision makers
- fuzzy logic
- fuzzy numbers
- decision making
- dempster shafer
- multi criteria optimization
- multi objective
- mental models
- weakly supervised
- data fusion
- evolutionary algorithm
- reinforcement learning
- multiscale
- similarity measure
- computer vision