Recommender Systems and Techniques
Recommender Systems and Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about 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.
How many works does Recommender Systems and Techniques have?
Recommender Systems and Techniques has 75,255 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Recommender Systems and Techniques have?
Recommender Systems and Techniques has 1,109,045 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Recommender Systems and Techniques?
The OpenAlex for Recommender Systems and Techniques is on the source record.