Design of a dynamic and robust recommender system based on item context, trust, rating matrix and rating time using social networks analysis-Reference-Cited by-同舟云学术

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Design of a dynamic and robust recommender system based on item context, trust, rating matrix and rating time using social networks analysis

Published:2024-02 Issue:2 Volume:36 Page:101964
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Hamidi H.,Moradi R.

Publisher

Elsevier BV

Reference53 articles.

1. A reliable deep representation learning to improve trust-aware recommendation systems;Ahmadian;Expert Syst. Appl.,2022

2. A social recommender system based on reliable implicit relationships;Ahmadian;Knowl.-Based Syst.,2020

3. The theory of planned behavior;Ajzen;Organ. Behav. Hum. Decis. Process.,1991

4. Location-Aware Personalized Traveler Recommender System (LAPTA) Using Collaborative Filtering KNN;Al-Ghobari;Computers, Materials & Continua,2021

5. Robust model-based reliability approach to tackle shilling attacks in collaborative filtering recommender systems;Alonso;IEEE Access,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Recommender System Using Generative Artificial Intelligence: A Systematic Literature Review;IEEE Access;2024

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