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A review on deep learning for recommender systems: challenges and remedies
Recommender systems are effective tools of information filtering that are prevalent due to
increasing access to the Internet, personalization trends, and changing habits of computer …
increasing access to the Internet, personalization trends, and changing habits of computer …
Hybrid recommender systems: Survey and experiments
Recommender systems represent user preferences for the purpose of suggesting items to
purchase or examine. They have become fundamental applications in electronic commerce …
purchase or examine. They have become fundamental applications in electronic commerce …
[کتاب][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 …
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 of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …
current generation of recommendation methods that are usually classified into the following …
[PDF][PDF] Content-boosted collaborative filtering for improved recommendations
Most recommender systems use Collaborative Filtering or Content-based methods to predict
new items of interest for a user. While both methods have their own advantages, individually …
new items of interest for a user. While both methods have their own advantages, individually …
Incorporating contextual information in recommender systems using a multidimensional approach
The article presents a multidimensional (MD) approach to recommender systems that can
provide recommendations based on additional contextual information besides the typical …
provide recommendations based on additional contextual information besides the typical …
Recommender systems: A systematic review of the state of the art literature and suggestions for future research
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …
high-quality individual studies addressing one or more research questions about …
[HTML][HTML] Exploiting deep transformer models in textual review based recommender systems
Textual reviews contain fine-grained information that can effectively infer user preferences
over the items. Accordingly, the latest studies in the field of recommender systems exploit …
over the items. Accordingly, the latest studies in the field of recommender systems exploit …