Recommender Systems: Applications and Challenges
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 70
Special Issue Editors
Interests: semantic web; social web; knowledge management; e-learning; context-aware recommender systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recommender systems are now becoming more mature with an undeniable omnipresence both in social media, as well as in collaborative online sales, e-learning platforms, and so on. When ordering meals, watching a video on demand, listening to music, buying clothes, etc., recommender systems are at the center of many applications. These interdisciplinary systems are increasingly complex, mixing numerous methods, ranging from knowledge management to XAI. This Special Issue, “Recommender Systems: Applications and Challenges”, welcomes submissions of recent research that investigate all aspects of recommender systems: algorithmic (knowledge-based reasoning, deep learning, etc.), conceptual (preferences, decision support, etc.), context awareness, explainability, evaluation, and innovative applications in various fields. This Special Issue is open to a wide thematic range of articles covering, among other things, recent applications and new or future challenges.
Prof. Dr. Marie-Hélène Abel
Dr. Elsa Negre
Guest Editors
Manuscript Submission Information
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Keywords
- recommender systems
- decision support systems
- context awareness
- explainability
- innovation
- hybrid AI
