7 citations · 10 across the 5 of their papers we have counts for
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cs.IR2019
FNHSM_HRS: Hybrid recommender system using fuzzy clustering and heuristic similarity measure
Mostafa Khalaji, Chitra Dadkhah
Nowadays, Recommender Systems have become a comprehensive system for helping and guiding users in a huge amount of data on the Internet. Collaborative Filtering offers to active us…
cs.IR2019★ 7 cited
CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation
Mostafa Khalaji, Nilufar Mohammadnejad
How to make the best decision between the opinions and tastes of your friends and acquaintances? Therefore, recommender systems are used to solve such issues. The common algorithms…
cs.IR2019
FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach
Mostafa Khalaji, Nilufar Mohammadnejad
Recommender systems are systems that are capable of offering the most suitable services and products to users. Through specific methods and techniques, the recommender systems try…