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Recommender system

Known as: Recommendation search engines, IPTV Recommendations, TV Recommender system 
Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
Data Mining Methods for Recommender Systems
In this chapter, we give an overview of the main Data Mining techniques used in the context of Recommender Systems. We first… 
Review
2008
Review
2008
Introduction to recommender systems
Recommender systems help users find the information, products, and other people they most want to find. This tutorial provides… 
Highly Cited
2008
Highly Cited
2008
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Regularized matrix factorization models are known to generate high quality rating predictions for recommender systems. One of the… 
Highly Cited
2008
Highly Cited
2008
Introducing Serendipity in a Content-Based Recommender System
Today recommenders are commonly used with various purposes, especially dealing with e-commerce and information filtering tools… 
Highly Cited
2006
Highly Cited
2006
Detecting noise in recommender system databases
In this paper, we propose a framework that enables the detection of noise in recommender system databases. We consider two… 
Highly Cited
2004
Highly Cited
2004
PocketLens: Toward a personal recommender system
Recommender systems using collaborative filtering are a popular technique for reducing information overload and finding products… 
Highly Cited
2004
Highly Cited
2004
Compound Critiques for Conversational Recommender Systems
Recommender systems bring together ideas from information retrieval and filtering, user profiling, adaptive interfaces and… 
Highly Cited
2003
Highly Cited
2003
Clustering approach for hybrid recommender system
Recommender system is a kind of Web intelligence techniques to make a daily information filtering for people. Clustering… 
Highly Cited
2003
Highly Cited
2003
A Tourism Recommender System Based on Collaboration and Text Analysis
This work presents a recommender system that helps travel agents in discovering options for customers, especially those who do… 
Review
2001
Review
2001
Beyond Recommender Systems: Helping People Help Each Other
The Internet and World Wide Web have brought us into a world of endless possibilities: interactive Web sites to experience, music… 
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