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» The MovieLens Datasets: History and Context
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CIKM
2009
Springer
13 years 11 months ago
Collaborative filtering using random neighbours in peer-to-peer networks
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Arno Bakker, Elth Ogston, Maarten van Steen
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 6 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
SDM
2012
SIAM
281views Data Mining» more  SDM 2012»
11 years 7 months ago
Contextual Collaborative Filtering via Hierarchical Matrix Factorization
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
ErHeng Zhong, Wei Fan, Qiang Yang
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 3 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
APVIS
2010
13 years 6 months ago
Stack zooming for multi-focus interaction in time-series data visualization
Information visualization shows tremendous potential for helping both expert and casual users alike make sense of temporal data, but current time series visualization tools provid...
Waqas Javed, Niklas Elmqvist