Time-Aware Recommender Systems: A Comprehensive Survey and Quantitative Assessment of Literature
Author:
Affiliation:
1. Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Funder
“Research Center of College of Computer and Information Sciences,” Deanship of Scientific Research, King Saud University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10121419.pdf?arnumber=10121419
Reference71 articles.
1. A Survey on the Generation of Recommender Systems
2. Social media marketing through time-aware collaborative filtering
3. A review on deep learning for recommender systems: challenges and remedies
4. Time- and Location-Sensitive Recommender Systems
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