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» Models for Incomplete and Probabilistic Information
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CIKM
2004
Springer
15 years 9 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 9 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 9 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 7 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 6 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