A Collaborative Recommend Algorithm Based on Bipartite Community
The recommendation algorithm based on bipartite network is superior to traditional methods on accuracy and diversity, which proves that considering the network topology of recommendation systems could help us to improve recommendation results. However, existing algorithms mainly focus on the overall...
Saved in:
| Main Authors: | Yuchen Fu, Quan Liu, Zhiming Cui |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/295931 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Learning edge importance in bipartite graph-based recommendations
by: Robert Kwieciński, et al.
Published: (2022-09-01) -
Overlapping Community Detecting Based on Complete Bipartite Graphs in Micro-Bipartite Network Bi-Egonet
by: Furong Chang, et al.
Published: (2019-01-01) -
Bipartite Toughness and k-Factors in Bipartite Graphs
by: Guizhen Liu, et al.
Published: (2008-01-01) -
Double dominating sequences in bipartite and co-bipartite graphs
by: Gopika Sharma, et al.
Published: (2025-01-01) -
A Novel Method for Community Detection in Bipartite Networks
by: Ali Khosrozadeh, et al.
Published: (2025-05-01)