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A Survey on Session-based Recommender Systems

ACM Computing Surveys, 2022
Shoujin Wang, Longbing Cao, Yang Wang
exaly  

Recommendation Systems

Recommendation systems are critical tools used by marketing departments to provide customers with product recommendations. Data scientists also use recommendation system analysis to assess the effectiveness of product and service suggestions. There are two types of recommendation systems: content-based and collaborative filtering.
openaire   +1 more source

Graph Neural Networks in Recommender Systems: A Survey

ACM Computing Surveys, 2023
Shiwen Wu, Fei Sun, Wentao Zhang
exaly  

Evaluating Recommender Systems: Survey and Framework

ACM Computing Surveys, 2023
Eva Zangerle, Christine Bauer
exaly  

Recommender systems

Communications of the ACM, 1997
Paul Resnick, Hal R. Varian
openaire   +1 more source

Recommender Systems Leveraging Multimedia Content

ACM Computing Surveys, 2021
Yashar Deldjoo   +2 more
exaly  

A Survey on Adversarial Recommender Systems

ACM Computing Surveys, 2022
Yashar Deldjoo, Tommaso Di Noia
exaly  

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

Information Fusion, 2021
Yassine Himeur   +2 more
exaly  

Reinforcement Learning based Recommender Systems: A Survey

ACM Computing Surveys, 2023
Behrouz H Far, R Trafford Crump
exaly  

Recommendation Systems

2018
K. G. Srinivasa   +2 more
openaire   +2 more sources

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