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

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

Standard

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. IEEE, 2019.

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

Harvard

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). IEEE, 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications, Sofia, Bulgaria, 3/07/19. https://doi.org/10.1109/INISTA.2019.8778352

APA

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) IEEE. https://doi.org/10.1109/INISTA.2019.8778352

Vancouver

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). IEEE. 2019 https://doi.org/10.1109/INISTA.2019.8778352

Author

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. IEEE, 2019.

Bibtex

@inproceedings{e6071927fa0142f286b643e378fd67dc,
title = "Context and short term user intention aware hybrid session based recommendation system",
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.",
keywords = "Context awareness, recommendation systems, session-based recommendation, short term user intention",
author = "Ramazan Esmeli and Mohamed Bader-El-Den and Alaa Mohasseb",
year = "2019",
month = jul,
day = "29",
doi = "10.1109/INISTA.2019.8778352",
language = "English",
isbn = "978-1-7281-1863-5",
editor = "Petia Koprinkova-Hristova and David Camacho and Tuly Yildirim and Lazaros Iliadis and Vincenzo Piuri",
booktitle = "2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)",
publisher = "IEEE",
note = "2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019 ; Conference date: 03-07-2019 Through 05-07-2019",

}

RIS

TY - GEN

T1 - Context and short term user intention aware hybrid session based recommendation system

AU - Esmeli, Ramazan

AU - Bader-El-Den, Mohamed

AU - Mohasseb, Alaa

PY - 2019/7/29

Y1 - 2019/7/29

N2 - 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.

AB - 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.

KW - Context awareness

KW - recommendation systems

KW - session-based recommendation

KW - short term user intention

UR - http://www.scopus.com/inward/record.url?scp=85070771920&partnerID=8YFLogxK

U2 - 10.1109/INISTA.2019.8778352

DO - 10.1109/INISTA.2019.8778352

M3 - Conference contribution

SN - 978-1-7281-1863-5

BT - 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)

A2 - Koprinkova-Hristova, Petia

A2 - Camacho, David

A2 - Yildirim, Tuly

A2 - Iliadis, Lazaros

A2 - Piuri, Vincenzo

PB - IEEE

T2 - 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications

Y2 - 3 July 2019 through 5 July 2019

ER -

ID: 15338770