An Improved Recommender System Solution to Mitigate the Over-Specialization Problem Using Genetic Algorithms
Nowadays, recommendation systems offer a method of facilitating the user’s desire. It is useful for recommending items from a variety of areas such as in the e-commerce, medical, education, tourism, and industry domains. The e-commerce area represents the most active research we found, which assists...
Main Authors: | Oumaima Stitini, Soulaimane Kaloun, Omar Bencharef |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/2/242 |
Similar Items
-
Towards the Detection of Fake News on Social Networks Contributing to the Improvement of Trust and Transparency in Recommendation Systems: Trends and Challenges
by: Oumaima Stitini, et al.
Published: (2022-03-01) -
Content and Other Resources Recommendations for Individuals with Intellectual Disability: A Review
by: Konstantinos Apostolidis, et al.
Published: (2022-10-01) -
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
by: Hyeyoung Ko, et al.
Published: (2022-01-01) -
Research on Algorithm Recommended by Online Education for Big Data
by: Feng Tao, et al.
Published: (2015-01-01) -
HYPNER: A Hybrid Approach for Personalized News Recommendation
by: Asghar Darvishy, et al.
Published: (2020-01-01)