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» Gravitation-based model for information retrieval
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SIGIR
2004
ACM
14 years 2 months ago
Probabilistic model for contextual retrieval
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its impor...
Ji-Rong Wen, Ni Lao, Wei-Ying Ma
JIIS
2002
102views more  JIIS 2002»
13 years 8 months ago
Using Dempster-Shafer's Theory of Evidence to Combine Aspects of Information Use
In this paper we propose a model for relevance feedback. Our model combines evidence from user's relevance assessments with algorithms describing how words are used within do...
Ian Ruthven, Mounia Lalmas
SIGIR
2008
ACM
13 years 9 months ago
Improving relevance feedback in language modeling with score regularization
We demonstrate that regularization can improve feedback in a language modeling framework. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Relevance Fee...
Fernando D. Diaz
SIGIR
2011
ACM
12 years 12 months ago
Collective topic modeling for heterogeneous networks
In this paper, we propose a joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network. The intuition b...
Hongbo Deng, Bo Zhao, Jiawei Han
SIGIR
2010
ACM
14 years 1 months ago
A two-stage model for blog feed search
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search behavior often involves a combination of exploratory behavior triggered by sal...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke