An efficient hybrid similarity measure based on user interests for recommender systems-Reference-Cited by-同舟云学术

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An efficient hybrid similarity measure based on user interests for recommender systems

Published:2019-08-29 Issue:5 Volume:37 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Hawashin Bilal¹^ORCID,Lafi Mohammad²,Kanan Tarek³,Mansour Ayman⁴

Affiliation:

1. Department of Computer Information Systems Al‐Zaytoonah University of Jordan Amman Jordan

2. Department of Software Engineering Al‐Zaytoonah University of Jordan Amman Jordan

3. Department of Computer Science Al‐Zaytoonah University of Jordan Amman Jordan

4. Department of Communication and Computer Engineering Tafila Technical University Tafilah Jordan

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12471

Reference48 articles.

1. Context-Aware Recommender Systems

2. Aghili G. Shajari M. Khadivi S. &Morid M. A.(2011).Using genre interest of users to detect profile injection attacks in movie recommender systems.In Proc: 10th International Conference on Machine Learning and Applications and Workshops (ICMLA) Vol.1. Honolulu Hawaii.49‐52.https://doi.org/10.1109/ICMLA.2011.151

3. AlZu'bi S. Hawashin B. Elbes M.andAl‐Ayyoub M.(2018).A novel recommender system based on Apriori algorithm for requirements engineering.In Proc:2018Fifth International Conference on Social Networks Analysis Management and Security (SNAMS) Valencia Spain.323‐327.https://doi.org/10.1109/SNAMS.2018.8554909

4. Amazon Website. (2018). Retrieved fromhttps://www.amazon.com.

5. Basiri J. Shakery A. Moshiri B. &Hayat M.Z.(2010).Alleviating the cold‐start problem of recommender systems using a new hybrid approach.In Proc: International Symposium on Telecommunications (IST2010) Kish Island Iran https://doi.org/10.1109/ISTEL.2010.5734161.

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