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» A study of mixture models for collaborative filtering
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ICIP
2005
IEEE
14 years 9 months ago
Statistical categorization of human histological images
Histology is the science of understanding the structure of animals and plants, and studying the functional implications of biological structures. In this paper, we propose a stati...
Dehua Zhao, Yixin Chen, Nelson Correa
ERCIMDL
2010
Springer
165views Education» more  ERCIMDL 2010»
13 years 8 months ago
Metadata Impact on Research Paper Similarity
While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straigh...
Germán Hurtado Martín, Steven Schock...
CISS
2008
IEEE
14 years 2 months ago
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
Peter Marbach
EMNLP
2010
13 years 5 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 4 months ago
Estimating Probabilities in Recommendation Systems
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
Mingxuan Sun, Guy Lebanon, Paul Kidwell