Journal article
An integrated two-stage model for intelligent information routing
Decision Support Systems, Vol.42(1), pp.362-374
2006
DOI: 10.1016/j.dss.2005.01.007
Abstract
A recent surge of subscriptions to online news services exemplifies the fact that people and organizations constantly need up-to-date information to stay competitive and make better informed decisions. However, many of these news services often require users to either manually input their profiles or subscribe to existing news channels. This results in lack of intelligence and personalization, and thus make these services less attractive to users. In this paper, an integrated model that combines query expansion with ranking function adaptation for online information routing is proposed and tested using two different large scale corpora. The experimental results show that this new model can deliver much better quality information than existing models.
Details
- Title: Subtitle
- An integrated two-stage model for intelligent information routing
- Creators
- Weiguo Fan - Virginia Polytechnic Institute and State University, United StatesMichael D Gordon - University of Michigan, United StatesPraveen Pathak
- Resource Type
- Journal article
- Publication Details
- Decision Support Systems, Vol.42(1), pp.362-374
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.dss.2005.01.007
- ISSN
- 0167-9236
- eISSN
- 1873-5797
- Language
- English
- Date published
- 2006
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083229002771
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