Matrix Factorization for Recommendations

This cluster focuses on collaborative filtering techniques primarily using matrix factorization methods to enhance recommender systems. It explores advancements in algorithms and their applications in generating personalized content for users.

matrix factorization
recommender systems
collaborative filtering
algorithms
personalization
user preferences
item interactions

26,377 papers

Parent topic: Information Retrieval and Filtering

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Papers Over Time

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Top Papers

Matrix Factorization Techniques For Recommender Systems

2009 · 7,647 citations

Toward The Next Generation Of Recommender Systems: A Survey Of The State-Of-The-Art And Possible Extensions

2005 · 6,882 citations

Item-based Collaborative Filtering Recommendation Algorithms

2001 · 5,550 citations

Neural Collaborative Filtering

2017 · 4,217 citations

Evaluating Collaborative Filtering Recommender Systems

2004 · 3,971 citations

Amazon.com Recommendations: Item-To-Item Collaborative Filtering

2003 · 3,808 citations

Recommender Systems

1997 · 2,596 citations

Wide & Deep Learning For Recommender Systems

2016 · 2,396 citations

Recommender Systems Survey

2013 · 2,296 citations

A Survey Of Collaborative Filtering Techniques

2009 · 2,246 citations

Deep Neural Networks For YouTube Recommendations

2016 · 1,978 citations

Factorizing Personalized Markov Chains For Next-Basket Recommendation

2010 · 1,730 citations

An Algorithmic Framework For Performing Collaborative Filtering

1999 · 1,681 citations

Item-based Top- N Recommendation Algorithms

2004 · 1,633 citations

Self-Attentive Sequential Recommendation

2018 · 1,442 citations

Content-Based Recommendation Systems

0 · 1,432 citations

Recommender Systems Handbook

2011 · 1,352 citations

Image-Based Recommendations On Styles And Substitutes

2015 · 1,303 citations

A Contextual-Bandit Approach To Personalized News Article Recommendation

2010 · 1,211 citations

Collaborative Filtering Recommender Systems

0 · 1,183 citations