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

Ramazan Esmeli; Mohamed Bader-El-Den; Alaa Mohasseb

doi:10.1109/INISTA.2019.8778352

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

Ramazan Esmeli, Mohamed Bader-El-Den, Alaa Mohasseb

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

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Abstract

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 language	English
Title of host publication	2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)
Editors	Petia Koprinkova-Hristova, David Camacho, Tuly Yildirim, Lazaros Iliadis, Vincenzo Piuri
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	978-1-7281-1862-8, 978-1-7281-1861-1
ISBN (Print)	978-1-7281-1863-5
DOIs	https://doi.org/10.1109/INISTA.2019.8778352
Publication status	Published - 29 Jul 2019
Event	2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications - Sofia, Bulgaria Duration: 3 Jul 2019 → 5 Jul 2019

Conference

Conference	2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications
Abbreviated title	INISTA 2019
Country/Territory	Bulgaria
City	Sofia
Period	3/07/19 → 5/07/19

Keywords

Context awareness
recommendation systems
session-based recommendation
short term user intention

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10.1109/INISTA.2019.8778352

Ramazan_Paper_2_INISTA_2019_v2 (2)
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Accepted author manuscript (Post-print), 365 KB

Cite this

Esmeli, R., Bader-El-Den, M., & Mohasseb, A. (2019). Context and short term user intention aware hybrid session based recommendation system. In P. Koprinkova-Hristova, D. Camacho, T. Yildirim, L. Iliadis, & V. Piuri (Eds.), 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INISTA.2019.8778352

Esmeli, Ramazan ; Bader-El-Den, Mohamed ; Mohasseb, Alaa. / Context and short term user intention aware hybrid session based recommendation system. 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA). editor / Petia Koprinkova-Hristova ; David Camacho ; Tuly Yildirim ; Lazaros Iliadis ; Vincenzo Piuri. Institute of Electrical and Electronics Engineers Inc., 2019.

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abstract = "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.",

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Esmeli, R, Bader-El-Den, M & Mohasseb, A 2019, Context and short term user intention aware hybrid session based recommendation system. in P Koprinkova-Hristova, D Camacho, T Yildirim, L Iliadis & V Piuri (eds), 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA). Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications, Sofia, Bulgaria, 3/07/19. https://doi.org/10.1109/INISTA.2019.8778352

Context and short term user intention aware hybrid session based recommendation system. / Esmeli, Ramazan; Bader-El-Den, Mohamed ; Mohasseb, Alaa.
2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA). ed. / Petia Koprinkova-Hristova; David Camacho; Tuly Yildirim; Lazaros Iliadis; Vincenzo Piuri. Institute of Electrical and Electronics Engineers Inc., 2019.

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

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Esmeli R, Bader-El-Den M , Mohasseb A. Context and short term user intention aware hybrid session based recommendation system. In Koprinkova-Hristova P, Camacho D, Yildirim T, Iliadis L, Piuri V, editors, 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA). Institute of Electrical and Electronics Engineers Inc. 2019 doi: 10.1109/INISTA.2019.8778352

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

Abstract

Conference

Keywords

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