Information filtering with extracted index words using ICA

被引：0

作者：

Tokyo Metropolitan College of Industrial Technology, Monozukuri Department Electronics and Information Engineering Course, 1-10-40, Higashi-Oi, Shinagawa-ku, 140-0011, Japan ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

不详 ^{[4
]}

机构：

[1] Tokyo Metropolitan College of Industrial Technology, Monozukuri Department Electronics and Information Engineering Course, Shinagawa-ku, 140-0011, 1-10-40, Higashi-Oi

[2] Osaka Prefecture University, Engineer Department Computer Science and Intelligent Systems, Naka-ku, Sakai, 599-8531, 1-1, Gakuen-cho

来源：

IEEJ Transactions on Electronics, Information and Systems | 2007年 / 127卷 / 09期

关键词：

Independent component analysis; Index words selection; Information filtering; User profile;

D O I：

10.1541/ieejeiss.127.1468

中图分类号：

学科分类号：

摘要：

We propose an information filtering system with extracted index words using by Independent Component Analysis(ICA). Elements of a document vector are established as the weights of index words and their dimensions become larger as the number of documents is increased. Therefore, from the view point of processing time and memory space, the dimension must be decreased. The proposed method decreases the dimension by selecting the index words based on the topics included in the corpus. We have applied ICA to the documents to obtain the topics. Then filtering by the relevance feedback with the document vectors reconstructed by the selected index words, was carried out to confirm the effectiveness of the proposed method.

引用

页码：1468 / 1473+24

共 13 条

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