Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

49 relations
Apache MahoutApache SparkBusiness logicCalifornia Report Card

Broader (2)

Collaborative softwareCollective intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
Highly Cited
2011
Highly Cited
2011
An item-oriented recommendation algorithm on cold-start problem
Based on a hybrid algorithm incorporating the heat conduction and probability spreading processes (Proc. Natl. Acad. Sci. U.S.A… 
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… 
Highly Cited
2010
Highly Cited
2010
Collaborative Filtering for People to People Recommendation in Social Networks
Predicting people other people may like has recently become an important task in many online social networks. Traditional… 
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… 
Highly Cited
2009
Highly Cited
2009
An unbiased p-step predictive FIR filter for a class of noise-free discrete-time models with independently observed states
The paper addresses a new unbiased p-step toward predictive finite impulse response (FIR) filter for a class of discrete-time… 
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
2005
2005
A Fuzzy Relational Approach to Event Recommendation
Most existing recommender systems employ collaborative fil- tering (CF) techniques in making projections about which items an e… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)