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
U2 - 10.1145/319950.323230
DO - 10.1145/319950.323230
M3 - Conference contribution
AN - SCOPUS:0033279068
SN - 1581131461
SN - 9781581131468
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 405
EP - 412
BT - International Conference on Information and Knowledge Management, Proceedings
PB - ACM
T2 - Proceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99)
Y2 - 2 November 1999 through 6 November 1999
ER -