Skip to content

Context and short term user intention aware hybrid session based recommendation system

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

Information overloading in e-commerce hinders the consumers' ability to make the right decisions. Customers visiting e-commerce websites can have specific goals in an individual session. However, using sessions that are based on the last item viewed or purchased is not enough to exploit the sessions specific intention or predict users' next actions in the sessions. In this paper, we proposed context and short term user intention aware (CSUI) framework which is based on item similarity collaborative filtering and Association Rule Session-based recommendation systems, the proposed model combines context factor of users' session and users' short term intentions. The developed model has been evaluated on two real-world datasets. Experimental results showed that using session context and users' short term intentions during the recommendation process could help in improving the accuracy of the next item prerlietion.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)
EditorsPetia Koprinkova-Hristova, David Camacho, Tuly Yildirim, Lazaros Iliadis, Vincenzo Piuri
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-7281-1862-8, 978-1-7281-1861-1
ISBN (Print)978-1-7281-1863-5
DOIs
Publication statusPublished - 29 Jul 2019
Event2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications - Sofia, Bulgaria
Duration: 3 Jul 20195 Jul 2019

Conference

Conference2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications
Abbreviated titleINISTA 2019
CountryBulgaria
CitySofia
Period3/07/195/07/19

Documents

  • Ramazan_Paper_2_INISTA_2019_v2 (2)

    Rights statement: © © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Accepted author manuscript (Post-print), 365 KB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 15338770