Evaluating recommender systems: survey and framework
E Zangerle, C Bauer - ACM Computing Surveys, 2022 - dl.acm.org
The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …
endeavor: many facets need to be considered in configuring an adequate and effective …
Graph neural networks in recommender systems: a survey
With the explosive growth of online information, recommender systems play a key role to
alleviate such information overload. Due to the important application value of recommender …
alleviate such information overload. Due to the important application value of recommender …
Reinforcement learning based recommender systems: A survey
Recommender systems (RSs) have become an inseparable part of our everyday lives. They
help us find our favorite items to purchase, our friends on social networks, and our favorite …
help us find our favorite items to purchase, our friends on social networks, and our favorite …
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
Influenced by the great success of deep learning in computer vision and language
understanding, research in recommendation has shifted to inventing new recommender …
understanding, research in recommendation has shifted to inventing new recommender …
Dive into deep learning
This open-source book represents our attempt to make deep learning approachable,
teaching readers the concepts, the context, and the code. The entire book is drafted in …
teaching readers the concepts, the context, and the code. The entire book is drafted in …
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
M Ferrari Dacrema, P Cremonesi… - Proceedings of the 13th …, 2019 - dl.acm.org
Deep learning techniques have become the method of choice for researchers working on
algorithmic aspects of recommender systems. With the strongly increased interest in …
algorithmic aspects of recommender systems. With the strongly increased interest in …
Graph learning based recommender systems: A review
Recent years have witnessed the fast development of the emerging topic of Graph Learning
based Recommender Systems (GLRS). GLRS employ advanced graph learning …
based Recommender Systems (GLRS). GLRS employ advanced graph learning …
A survey on session-based recommender systems
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …
consumption, services, and decision-making in the overloaded information era and digitized …
Deep learning based recommender system: A survey and new perspectives
With the growing volume of online information, recommender systems have been an
effective strategy to overcome information overload. The utility of recommender systems …
effective strategy to overcome information overload. The utility of recommender systems …
Recommender systems leveraging multimedia content
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …
increasing amount of multimedia content available today and to help users discover …