Have a personal or library account? Click to login
Hybrid Recommender System via Personalized Users’ Context Cover

Hybrid Recommender System via Personalized Users’ Context

Cybernetics and Information Technologies
Volume 19 (2019): Issue 1 (March 2019)
By: Anthony Nosshi,  Aziza Asem and  Mohamed Badr Senousy  
Open Access
|Mar 2019

Authors

Anthony Nosshi

Anthony.nosshi@gmail.com

Information System Dept., Computers and Information Faculty, Mansoura University, Mansoura, Egypt

Aziza Asem

AsemAziza@gmail.com

Information System Dept., Computers and Information Faculty, Mansoura University, Mansoura, Egypt

Mohamed Badr Senousy

Badr_Senousey_arcoit@yahoo.com

Computer and Information System Department, Sadat Academy for Management Sciences, Cairo, Egypt
DOI: https://doi.org/10.2478/cait-2019-0006 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 101 - 115
Submitted on: Jan 29, 2019
Accepted on: Feb 14, 2019
Published on: Mar 29, 2019
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Movie recommender,
Emotion recommendation,
Hybrid recommender system,
sentiment analysis,
spatio-temporal recommendation
Related subjects:
Computer sciences,
Information technology

© 2019 Anthony Nosshi, Aziza Asem, Mohamed Badr Senousy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 19 (2019): Issue 1 (March 2019)Next article