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» Set-based model: a new approach for information retrieval
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WWW
2009
ACM
14 years 2 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
CLEF
2007
Springer
14 years 1 months ago
Amharic-English Information Retrieval with Pseudo Relevance Feedback
We describe cross language retrieval experiments using Amharic queries and English language document collection from our participation in the bilingual ad hoc track at the CLEF 20...
Atelach Alemu Argaw
ACL
2006
13 years 9 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
EUROSSC
2009
Springer
14 years 2 months ago
Semantic Rules for Context-Aware Geographical Information Retrieval
Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, seman...
Carsten Keßler, Martin Raubal, Christoph Wos...
VLDB
1990
ACM
116views Database» more  VLDB 1990»
13 years 11 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr