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SIGIR
2009
ACM
14 years 2 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
RIAO
2000
13 years 9 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
NGITS
1995
Springer
13 years 11 months ago
Category Translation: Learning to Understand Information on the Internet
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...
Mike Perkowitz, Oren Etzioni
CIKM
2010
Springer
13 years 6 months ago
Examining the information retrieval process from an inductive perspective
Term-weighting functions derived from various models of retrieval aim to model human notions of relevance more accurately. However, there is a lack of analysis of the sources of e...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
IEEECIT
2010
IEEE
13 years 6 months ago
Term Weighting Approaches for Mining Significant Locations from Personal Location Logs
In this paper, we describe experiments into the application of term weighting techniques from text retrieval to support the automatic identification of significant locations from ...
Zhengwei Qiu, Cathal Gurrin, Aiden R. Doherty, Ala...