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ICTIR
2009
Springer
14 years 2 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
JASIS
2010
121views more  JASIS 2010»
13 years 6 months ago
Linear time series models for term weighting in information retrieval
Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...
Miles Efron
CIKM
2001
Springer
14 years 13 days ago
Real Time User Context Modeling for Information Retrieval Agents
The success of personal information agents depends on their ability to provide task-relevant information. This paper presents WordSieve, a new algorithm that generates context des...
Travis Bauer, David B. Leake
CIKM
2009
Springer
14 years 2 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
SIGIR
2010
ACM
13 years 11 months ago
Probabilistic latent maximal marginal relevance
Diversity has been heavily motivated in the information retrieval literature as an objective criterion for result sets in search and recommender systems. Perhaps one of the most w...
Shengbo Guo, Scott Sanner