Recommender Systems
1. Hybrid Method of Recommender System to Decrement Cold Start and Sparse Data Issues

K. Vahidy Rodpysh; S. J. Mirabedini; T. Banirostam

Articles in Press, Accepted Manuscript, Available Online from 01 February 2021

  Background and Objectives: The main purpose of the recommender system is to estimate the user's desire and provide a list of items predicted using the appropriate information. Recommender systems offering suggestions items to users face the two challenges of cold start and sparse data. Methods: This ...  Read More