Recommender Systems and Techniques

This cluster of papers focuses on the advancements in recommender system technologies, including collaborative filtering, matrix factorization, deep learning, content-based recommendation, web mining, context-aware recommender systems, neural networks, user modeling, and trust-aware recommender systems. The papers cover various techniques and methodologies for improving recommendation accuracy and addressing challenges such as cold start problems and privacy concerns.

Journals publishing in this area

1

Expert Systems with Applications

ISSN 0957-4174901 articles in this topic

341h-index

5.99Impact

30.3KArticles

1.2MCitations

2

International Journal of Engineering in Computer Science

ISSN 2663-35824 articles in this topic

6h-index

0.07Impact

284Articles

295Citations