Name
Title | ||
|---|---|---|
Item-network-based collaborative filtering: A personalized recommendation method based on a user's item network. |
Abstract | ||
|---|---|---|
•This study suggests item-network-based collaborative filtering.•The method focuses on a user's item network to remedy the existing limitations.•Centrality indicators of the item network are utilized for recommendations.•The evaluation test results with sample data show potentials of our method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ipm.2017.05.003 | Information Processing & Management |
Keywords | Field | DocType |
Recommendation system,Collaborative filtering,Item network,Centrality indicators,Social network analysis | Recommender system,Data mining,Collaborative filtering,Information retrieval,Computer science,Closeness,Social network analysis,Centrality,Active listening,Betweenness centrality,Recall | Journal |
Volume | Issue | ISSN |
53 | 5 | 0306-4573 |
Citations | PageRank | References |
2 | 0.37 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taehyun Ha | 1 | 16 | 3.46 |
| Sangwon Lee | 2 | 122 | 7.90 |