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ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
14 years 3 days ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins
JIIS
2002
102views more  JIIS 2002»
13 years 7 months ago
Using Dempster-Shafer's Theory of Evidence to Combine Aspects of Information Use
In this paper we propose a model for relevance feedback. Our model combines evidence from user's relevance assessments with algorithms describing how words are used within do...
Ian Ruthven, Mounia Lalmas
ECIR
2009
Springer
14 years 5 months ago
A Comparative Study of Utilizing Topic Models for Information Retrieval
We explore the utility of different types of topic models for retrieval purposes. Based on prior work, we describe several ways that topic models can be integrated into the retrie...
Xing Yi, James Allan
ICCV
2003
IEEE
14 years 1 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
ICADL
2005
Springer
110views Education» more  ICADL 2005»
14 years 1 months ago
A Hybrid Information Retrieval Model Using Metadata and Text
Metadata IR model has high precision and low recall because the query in Metadata IR model is strict that is, the query can express user information need exactly, while Full-text I...
Sung Kim, Sung Myaeng, Jeong-Mok Yoo