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ITCC
2002
IEEE

Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes

14 years 3 months ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is that the documents have predefined category information, for example, the variety of scientific articles accessible via digital libraries (e.g., ACM, IEEE, etc.), medical articles, news-wires, and various directories (e.g., Yahoo, OpenDirectory Project, etc.). However, most previous information retrieval systems have not taken the pre-existing category information into account. In this paper, we present weight adjustment schemes based upon the category information in the vector-space model, which are able to select the most content specific and discriminating features. Our experimental results on TREC data sets show that the pre-existing category information does provide additional beneficial information to improve retrieval. The proposed weight adjustment schemes perform better than the vector-space model...
Ying Zhao, George Karypis
Added 15 Jul 2010
Updated 15 Jul 2010
Type Conference
Year 2002
Where ITCC
Authors Ying Zhao, George Karypis
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