Collaborative Filtering Similarity Measures: Revisiting
This paper discussed the most commonly used similarity measures in Collaborative Filtering (CF) recommender system. In addition, the author introduced some recommendations related to CF system quality improvement which should be considered in the process of formulating similarity measure that may le...
Saved in:
Main Authors: | Al-Bashiri, Hael, Abdulgabber, Mansoor Abdullateef, Awanis, Romli, Hujainah, Fadhl |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Association for Computing Machinery
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/18508/1/fskkp-2017-hael-Collaborative%20Filtering%20Similarity%20Measures%20Revisiting.pdf http://umpir.ump.edu.my/id/eprint/18508/7/fskkp-2017-hael-Collaborative%20Filtering%20Similarity1.pdf http://umpir.ump.edu.my/id/eprint/18508/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Collaborative Filtering Recommender System: Overview and Challenges
by: Al-Bashiri, Hael, et al.
Published: (2017) -
A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity
by: Al-Bashiri, Hael, et al.
Published: (2018) -
Environmental Risks in Supply Chain: Recommendations and Directions for Future Research
by: Arwa, Mukhtar, et al.
Published: (2019) -
An improved memory-based collaborative filtering method based on the TOPSIS technique
by: Al-Bashiri, Hael, et al.
Published: (2018) -
Eco-design based on collaborative filtering recommender system
by: Al-Bashiri, Hael, et al.
Published: (2018)