NDLI: Word co-occurrence information utilization method for evaluated number independent retrieval on BBS articles with user evaluation

Content Provider	IEEE Xplore Digital Library
Author	Iwai, K. Akiyoshi, M. Komoda, N.
Copyright Year	2009
Description	Author affiliation: Osaka University, Japan (Iwai, K.; Akiyoshi, M.; Komoda, N.)
Abstract	Recently, BBS (Bulletin Board System) has been used widely as online space to exchange information. It has a lot of useful information including users' real voice such as review of new product, event information, and so on. However, sufficiently efficient functions for information search are not yet available to everyday users. BBS articles posted by general public have a lot of colloquial expressions and various expression patterns of same word. Therefore common searching methods, keyword matching and cosine similarity searching, can extract a lot of articles users do not want. As the result, it requires a fair amount of time for users to see if retrieved articles are necessary for them. The achievement of more efficiently retrieval function has been desired. A retrieval method using users' evaluations of articles has been proposed. In this method, search user evaluates each retrieved thread on binary of whether its content suits the retrieval question. And when a new retrieval query is entered, the past evaluations by retrieval queries similar to the new query are used as feedback. It can improve retrieval accuracy on BBS browsed by many users and updated frequently, because a lot of evaluations can be stored. When there are few evaluations, however, this method makes a false selection of evaluations used as feedback. To solve this problem, in this paper, we propose a feedback method using users' evaluations for evaluated number independent retrieval. In our method, appropriate feedback is achieved by using word co-occurrence information in articles and making word statistic classes, even if there are few evaluations. By using our method, the number of correct articles in retrieved result was increased compared to the conventional one when there are few evaluations.
Starting Page	2148
Ending Page	2153
File Size	597310
Page Count	6
File Format	PDF
ISBN	9781424446483
ISSN	1553572X
e-ISBN	9781424446506
DOI	10.1109/IECON.2009.5415357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-03
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information retrieval
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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