A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity

A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity

This paper presented a new similarity method to improve the accuracy of traditional Collaborative Filtering (CF) method under sparse data issue. CF provides the user with items, that what they need, based on analyses the preferences of users who have a strong correlation to him/her preference. Howev...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Bashiri, Hael, Abdulgabber, Mansoor Abdullateef, Awanis, Romli, Norazuwa, Salehudin
Format: Article
Language:English
Published: The Science and Information (SAI) Organization Limited 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/21368/1/A%20Developed%20Collaborative%20Filtering%20Similarity-fskkp-2018.pdf
http://umpir.ump.edu.my/id/eprint/21368/
http://dx.doi.org/10.14569/IJACSA.2018.090423
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/21368/1/A%20Developed%20Collaborative%20Filtering%20Similarity-fskkp-2018.pdf
http://umpir.ump.edu.my/id/eprint/21368/
http://dx.doi.org/10.14569/IJACSA.2018.090423

Similar Items