A collaborative filtering recommendation framework utilizing social networks
<p dir="ltr">Collaborative filtering is a widely used technique for providing personalized recommendations to users. However, traditional collaborative filtering methods fail to consider the social connections between users. The current study proposes a collaborative filtering recomm...
Saved in:
| Main Author: | Aamir Fareed (17019087) (author) |
|---|---|
| Other Authors: | Saima Hassan (14918003) (author), Samir Brahim Belhaouari (9427347) (author), Zahid Halim (17019090) (author) |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Blockchain-based recommender systems: Applications, challenges and future opportunities
by: Yassine Himeur (14158821)
Published: (2022) -
Thinking spatial
by: Mohamed F. Mokbel (19652410)
Published: (2020) -
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
by: Shameem A. Puthiya Parambath (14150997)
Published: (2022) -
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework
by: Daksh Dave (17949239)
Published: (2023) -
Editorial: Technological developments in point of interest recommendation for smart and sustainable cities
by: Krishna Kumar Mohbey (21324377)
Published: (2024)