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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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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… 
2015
2015
Model recommendation: Generating object detectors from few samples
In this paper, we explore an approach to generating detectors that is radically different from the conventional way of learning a… 
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… 
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… 
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… 
2008
2008
Wireless optical CDMA LAN: digital design concepts
In this paper we study and present an in-depth analysis on the operability and the viability of a typical wireless optical CDMA… 
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… 
2005
2005
Automatic Discovery of Personal Topics to Organize Email
We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike… 
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