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» Two-Stage Approach to Item Recommendation from User Sessions
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SIGIR
2005
ACM
14 years 1 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
SIGIR
2003
ACM
14 years 21 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 1 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
CHI
2006
ACM
14 years 7 months ago
Virtual information piles for small screen devices
We describe an implementation that has users `flick' notes, images, audio, and video files onto virtual piles beyond the display of small-screen devices. This scheme allows P...
QianYing Wang, Tony Hsieh, Meredith Ringel Morris,...
SEMWEB
2004
Springer
14 years 24 days ago
Opening Up Magpie via Semantic Services
Abstract. Magpie is a suite of tools supporting a ‘zero-cost’ approach to semantic web browsing: it avoids the need for manual annotation by automatically associating an ontolo...
Martin Dzbor, Enrico Motta, John Domingue