A light-weight feedback method for reconstructing a document vector space on a feature extraction model

Authors:
Kosuke Takano;Xing Chen
Affiliations:
Kanagawa Institute of Technology, Kanagawa, Japan;Kanagawa Institute of Technology, Kanagawa, Japan
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 2
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Abstract

In this paper, we propose a document retrieval system with a light-weight feedback method for reconstructing a document vector space, which is developed on a Feature Extraction Model (FEM). FEM makes it possible to realize a light-weight creation of vector spaces by feature terms extracted from the pre-prepared documents and we can apply the feedback method dynamically to reconstruct the vector spaces based on intensions of users. Retrieval results can be improved through the proposed feedback process because the distributions of documents on the reconstructed vector space are arranged properly according to purposes and interests of users.