Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges
Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …
developing algorithms that generate recommendations. The resulting research progress has …
Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
Denoising implicit feedback for recommendation
The ubiquity of implicit feedback makes them the default choice to build online
recommender systems. While the large volume of implicit feedback alleviates the data …
recommender systems. While the large volume of implicit feedback alleviates the data …
Recommender systems survey
Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …
on demographic, content-based and collaborative filtering. Currently, these systems are …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Learning to denoise unreliable interactions for graph collaborative filtering
Recently, graph neural networks (GNN) have been successfully applied to recommender
systems as an effective collaborative filtering (CF) approach. However, existing GNN-based …
systems as an effective collaborative filtering (CF) approach. However, existing GNN-based …
Poisoning attacks to graph-based recommender systems
Recommender system is an important component of many web services to help users locate
items that match their interests. Several studies showed that recommender systems are …
items that match their interests. Several studies showed that recommender systems are …
Data poisoning attacks to deep learning based recommender systems
Recommender systems play a crucial role in helping users to find their interested
information in various web services such as Amazon, YouTube, and Google News. Various …
information in various web services such as Amazon, YouTube, and Google News. Various …