Exploring content-based group recommendation for suggesting restaurants in Havana City
Recommender systems (RSs) are a relevant kind of artificial intelligence-based systems focused on providing users with the information that best fit their preferences and needs in a search space overloaded of possible options. Specifically, group recommender systems (GRSs) are a special type of RS c...
Main Authors: | Yilena Pérez-Almaguer, Edianny Carballo-Cruz, Yailé Caballero-Mota, Raciel Yera |
---|---|
Format: | Article |
Language: | English |
Published: |
Graz University of Technology
2024-01-01
|
Series: | Journal of Universal Computer Science |
Subjects: | |
Online Access: | https://lib.jucs.org/article/104838/download/pdf/ |
Similar Items
-
Restaurant Recommendations Based on Multi-Criteria Recommendation Algorithm
by: Qusai Y. Shambour, et al.
Published: (2023-02-01) -
Integrating users’ long-term and short-term interests with knowledge graph to improve restaurant recommendation
by: Lizhi Miao, et al.
Published: (2023-10-01) -
Intelligent decision support model for recommending restaurant
by: Michelle Hartanto, et al.
Published: (2020-01-01) -
Matrix Factorization Collaborative-Based Recommender System for Riyadh Restaurants: Leveraging Machine Learning to Enhance Consumer Choice
by: Reham Alabduljabbar
Published: (2023-08-01) -
Restaurant planning and design /
by: 453666 Lawson, Fred R.
Published: (1973)