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» Ranked feature fusion models for ad hoc retrieval
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TREC
1998
13 years 6 months ago
BBN at TREC7: Using Hidden Markov Models for Information Retrieval
We present a new method for information retrieval using hidden Markov models HMMs and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framew...
David R. H. Miller, Tim Leek, Richard M. Schwartz
CIVR
2005
Springer
147views Image Analysis» more  CIVR 2005»
13 years 10 months ago
A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
Kieran McDonald, Alan F. Smeaton
CIKM
2005
Springer
13 years 10 months ago
Document quality models for web ad hoc retrieval
The quality of document content, which is an issue that is usually ignored for the traditional ad hoc retrieval task, is a critical issue for Web search. Web pages have a huge var...
Yun Zhou, W. Bruce Croft
SIGIR
2002
ACM
13 years 4 months ago
The Importance of Prior Probabilities for Entry Page Search
An important class of searches on the world-wide-web has the goal to find an entry page (homepage) of an organisation. Entry page search is quite different from Ad Hoc search. Ind...
Wessel Kraaij, Thijs Westerveld, Djoerd Hiemstra
SIGIR
2005
ACM
13 years 11 months ago
Linear discriminant model for information retrieval
This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate a...
Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun N...