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» A General Language Model for Information Retrieval
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SIGIR
2003
ACM
15 years 11 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
INTR
2007
98views more  INTR 2007»
15 years 6 months ago
User-centered evaluation of information: a research challenge
Purpose – This paper sets out to present the concept of the value of information, review the descriptive, rational, social and behavioral approaches for assessing the value of i...
Daphne R. Raban
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
16 years 6 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu
LATIN
2010
Springer
16 years 1 months ago
Modelling the LLL Algorithm by Sandpiles
Abstract The LLL algorithm aims at finding a “reduced” basis of a Euclidean lattice. The LLL algorithm plays a primary role in many areas of mathematics and computer science. ...
Manfred Madritsch, Brigitte Vallée