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WWW
2009
ACM
16 years 1 months ago
A probabilistic model based approach for blended search
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
Ning Liu, Jun Yan, Zheng Chen
IDA
2003
Springer
15 years 11 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
SIGIR
2012
ACM
13 years 8 months ago
Modeling higher-order term dependencies in information retrieval using query hypergraphs
Many of the recent, and more effective, retrieval models have incorporated dependencies between the terms in the query. In this paper, we advance this query representation one st...
Michael Bendersky, W. Bruce Croft
SIGIR
2005
ACM
15 years 11 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
IWINAC
2007
Springer
16 years 10 days ago
EDNA: Estimation of Dependency Networks Algorithm
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
José A. Gámez, Juan L. Mateo, Jose M...