Tracking changes in user interests with a few relevance judgments

Dwi H. Widyantoro; Thomas R. Ioerger; John Yen

Tracking changes in user interests with a few relevance judgments

Dwi H. Widyantoro, Thomas R. Ioerger, John Yen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integrates (1) pseudo-relevance feedback mechanism, (2) assumption about the persistence of user interests and (3) incremental method for data clustering. This approach has been empirically evaluated using Reuters-21578 corpus in a setting for information filtering. The experiment results reveal that it significantly improves the performances of existing user-interest-tracking systems without requiring additional, actual relevance judgments.

Original language	English (US)
Title of host publication	CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
Editors	O. Frieder, J. Hammer, S. Qureshi, L. Seligman
Pages	548-551
Number of pages	4
State	Published - 2003
Event	CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States Duration: Nov 3 2003 → Nov 8 2003

Other

Other	CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
Country/Territory	United States
City	New Orleans, LA
Period	11/3/03 → 11/8/03

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting

Cite this

@inproceedings{6c3932e1469f4f64a1ed3f7717fe105e,

title = "Tracking changes in user interests with a few relevance judgments",

abstract = "Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integrates (1) pseudo-relevance feedback mechanism, (2) assumption about the persistence of user interests and (3) incremental method for data clustering. This approach has been empirically evaluated using Reuters-21578 corpus in a setting for information filtering. The experiment results reveal that it significantly improves the performances of existing user-interest-tracking systems without requiring additional, actual relevance judgments.",

author = "Widyantoro, {Dwi H.} and Ioerger, {Thomas R.} and John Yen",

year = "2003",

language = "English (US)",

pages = "548--551",

editor = "O. Frieder and J. Hammer and S. Qureshi and L. Seligman",

booktitle = "CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management",

note = "CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management ; Conference date: 03-11-2003 Through 08-11-2003",

}

Widyantoro, DH, Ioerger, TR & Yen, J 2003, Tracking changes in user interests with a few relevance judgments. in O Frieder, J Hammer, S Qureshi & L Seligman (eds), CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management. pp. 548-551, CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management, New Orleans, LA, United States, 11/3/03.

Tracking changes in user interests with a few relevance judgments. / Widyantoro, Dwi H.; Ioerger, Thomas R.; Yen, John.
CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management. ed. / O. Frieder; J. Hammer; S. Qureshi; L. Seligman. 2003. p. 548-551.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Tracking changes in user interests with a few relevance judgments

AU - Widyantoro, Dwi H.

AU - Ioerger, Thomas R.

AU - Yen, John

PY - 2003

Y1 - 2003

N2 - Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integrates (1) pseudo-relevance feedback mechanism, (2) assumption about the persistence of user interests and (3) incremental method for data clustering. This approach has been empirically evaluated using Reuters-21578 corpus in a setting for information filtering. The experiment results reveal that it significantly improves the performances of existing user-interest-tracking systems without requiring additional, actual relevance judgments.

AB - Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integrates (1) pseudo-relevance feedback mechanism, (2) assumption about the persistence of user interests and (3) incremental method for data clustering. This approach has been empirically evaluated using Reuters-21578 corpus in a setting for information filtering. The experiment results reveal that it significantly improves the performances of existing user-interest-tracking systems without requiring additional, actual relevance judgments.

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M3 - Conference contribution

AN - SCOPUS:18744372436

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BT - CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management

A2 - Frieder, O.

A2 - Hammer, J.

A2 - Qureshi, S.

A2 - Seligman, L.

T2 - CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management

Y2 - 3 November 2003 through 8 November 2003

ER -

Tracking changes in user interests with a few relevance judgments

Abstract

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All Science Journal Classification (ASJC) codes

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