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CIKM
2008
Springer
13 years 11 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
SIGIR
2010
ACM
14 years 26 days ago
2010
ACM
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
NIPS
2008
13 years 10 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
Search engines process queries conjunctively to restrict the size of the answer set. Further, it is not rare to observe a mismatch between the vocabulary used in the text of Web p...