Adaptive algorithm for learning changes in user interests

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

67 Citations (Scopus)

Abstract

In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme adapts quickly to significant changes in user interest, and is also able to learn exceptions to interest categories.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
PublisherACM
Pages405-412
Number of pages8
ISBN (Print)1581131461
StatePublished - 1999
EventProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99) - Kansas City, MO, USA
Duration: Nov 2 1999Nov 6 1999

Other

OtherProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99)
CityKansas City, MO, USA
Period11/2/9911/6/99

Fingerprint

Information filtering
Information gathering
Relevance feedback
World Wide Web
Learning algorithm

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Widyantoro, D. H., Ioerger, T. R., & Yen, J. (1999). Adaptive algorithm for learning changes in user interests. In International Conference on Information and Knowledge Management, Proceedings (pp. 405-412). ACM.
Widyantoro, Dwi H. ; Ioerger, Thomas R. ; Yen, John. / Adaptive algorithm for learning changes in user interests. International Conference on Information and Knowledge Management, Proceedings. ACM, 1999. pp. 405-412
@inproceedings{7c4853a74bf34ce18c55a31fe728c216,
title = "Adaptive algorithm for learning changes in user interests",
abstract = "In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme adapts quickly to significant changes in user interest, and is also able to learn exceptions to interest categories.",
author = "Widyantoro, {Dwi H.} and Ioerger, {Thomas R.} and John Yen",
year = "1999",
language = "English (US)",
isbn = "1581131461",
pages = "405--412",
booktitle = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "ACM",

}

Widyantoro, DH, Ioerger, TR & Yen, J 1999, Adaptive algorithm for learning changes in user interests. in International Conference on Information and Knowledge Management, Proceedings. ACM, pp. 405-412, Proceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99), Kansas City, MO, USA, 11/2/99.

Adaptive algorithm for learning changes in user interests. / Widyantoro, Dwi H.; Ioerger, Thomas R.; Yen, John.

International Conference on Information and Knowledge Management, Proceedings. ACM, 1999. p. 405-412.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Adaptive algorithm for learning changes in user interests

AU - Widyantoro, Dwi H.

AU - Ioerger, Thomas R.

AU - Yen, John

PY - 1999

Y1 - 1999

N2 - In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme adapts quickly to significant changes in user interest, and is also able to learn exceptions to interest categories.

AB - In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme adapts quickly to significant changes in user interest, and is also able to learn exceptions to interest categories.

UR - http://www.scopus.com/inward/record.url?scp=0033279068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033279068&partnerID=8YFLogxK

M3 - Conference contribution

SN - 1581131461

SP - 405

EP - 412

BT - International Conference on Information and Knowledge Management, Proceedings

PB - ACM

ER -

Widyantoro DH, Ioerger TR, Yen J. Adaptive algorithm for learning changes in user interests. In International Conference on Information and Knowledge Management, Proceedings. ACM. 1999. p. 405-412