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Collaborative filtering

Known as: Cf, Collaborative Filter, Shilling attacks 
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one… 
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Related topics

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Broader (2)

Collaborative softwareCollective intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A new confidence-based recommendation approach: Combining trust and certainty
2015
2015
A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data
Big data is a big business, and effective modeling of this data is key. This paper provides a comprehensive multidimensional… 
2012
2012
Forgetting mechanisms for scalable collaborative filtering
Collaborative filtering (CF) has been an important subject of research in the past few years. Many achievements have been made in… 
Highly Cited
2011
Highly Cited
2011
Text Text Revolution: A Game That Improves Text Entry on Mobile Touchscreen Keyboards
Mobile devices often utilize touchscreen keyboards for text input. However, due to the lack of tactile feedback and generally… 
2011
2011
Mobile commerce product recommendations based on hybrid multiple channels
2010
2010
Improving Prediction Accuracy in Trust-Aware Recommender Systems
Trust-aware recommender systems are intelligent technology applications that make use of trust information and user personal data… 
2007
2007
Personalized Service System Based on Hybrid Filtering for Digital Library
2006
2006
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more… 
Highly Cited
2005
Highly Cited
2005
Mining changes in customer buying behavior for collaborative recommendations
2003
2003
Convergent algorithms for collaborative filtering
A collaborative filtering system analyzes data on the past behavior of its users so as to make recommendations --- a canonical… 
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