Topic tracking model for analyzing consumer purchase behavior

Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda

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

100 Citations (Scopus)

Abstract

We propose a new topic model for tracking timevarying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to store past data for current inferences and so we can considerably reduce the computational cost and the memory requirement. We use real purchase logs to demonstrate the effectiveness of the proposed method in terms of the prediction accuracy of purchase behavior and the computational cost of the inference.

Original languageEnglish
Title of host publicationIJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence
PublisherInternational Joint Conferences on Artificial Intelligence
Pages1427-1432
Number of pages6
ISBN (Print)9781577354260
Publication statusPublished - 2009 Jan 1
Externally publishedYes
Event21st International Joint Conference on Artificial Intelligence, IJCAI 2009 - Pasadena, United States
Duration: 2009 Jul 112009 Jul 16

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823

Conference

Conference21st International Joint Conference on Artificial Intelligence, IJCAI 2009
CountryUnited States
CityPasadena
Period09/7/1109/7/16

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Topic tracking model for analyzing consumer purchase behavior'. Together they form a unique fingerprint.

  • Cite this

    Iwata, T., Watanabe, S., Yamada, T., & Ueda, N. (2009). Topic tracking model for analyzing consumer purchase behavior. In IJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence (pp. 1427-1432). (IJCAI International Joint Conference on Artificial Intelligence). International Joint Conferences on Artificial Intelligence.