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» Models for Incomplete and Probabilistic Information
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CIKM
2004
Springer
15 years 10 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin
SIGIR
2003
ACM
15 years 10 months 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
SIGIR
2005
ACM
15 years 10 months ago
Probabilistic hyperspace analogue to language
Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor’s three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual spa...
Leif Azzopardi, Mark Girolami, Malcolm Crowe
PERCOM
2011
ACM
14 years 9 months ago
P3-coupon: A probabilistic system for Prompt and Privacy-preserving electronic coupon distribution
—In this paper, we propose P3 -coupon, a Prompt and Privacy-preserving electronic coupon distribution system based on a Probabilistic one-ownership forwarding algorithm. In this ...
Boying Zhang, Jin Teng, Xiaole Bai, Zhimin Yang, D...
CVPR
2007
IEEE
16 years 7 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger