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

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

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:...

Full description

Bibliographic Details
Main Authors: K. Vahidy Rodpysh, Seyed Javad Mirabedini, T. Banirostam
Format: Article
Language:English
Published: Shahid Rajaee Teacher Training University 2021-07-01
Series:Journal of Electrical and Computer Engineering Innovations
Subjects:
recommender systems
singular value decomposition
context and similarity criteria
cold start
sparse data
Online Access:https://jecei.sru.ac.ir/article_1519_7f2131ca0e03a0a8a6b02d06da578915.pdf

Internet

https://jecei.sru.ac.ir/article_1519_7f2131ca0e03a0a8a6b02d06da578915.pdf

Similar Items