Name
Title | ||
|---|---|---|
A Dynamic Cold-Start Recommendation Method Based On Incremental Graph Pattern Matching |
Abstract | ||
|---|---|---|
In order to give accurate recommendations for cold-start user who has few records, researchers find similar users for cold-start user according to social network. However these efforts assume that cold-start user's social relationships are static and ignore updating social relationships are time consuming. In social network, cold-start user and other users may change their social relationships as time passes. In order to give accurate and timely recommendations for cold-start user, it is necessary to update similar users for cold-start users according to their latest social relationship continuously. In this paper, an incremental graph pattern matching based dynamic cold-start recommendation method (IGPMDCR) is proposed, which updates similar users for cold-start user based on topology of social network, and gives recommendations according to latest users similar to cold-start user. The experimental results show that IGPMDCR could give accurate and timely recommendations for cold-start user. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1504/IJCSE.2019.096948 | INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING |
Keywords | Field | DocType |
dynamic cold-start recommendation, social network, incremental graph pattern matching, IGPM, topology of social network | Graph pattern matching,Social relationship,Social network,Computer science,Artificial intelligence,3-dimensional matching,Cold start (automotive),Machine learning | Journal |
Volume | Issue | ISSN |
18 | 1 | 1742-7185 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanan Zhang | 1 | 9 | 6.92 |
| Guisheng Yin | 2 | 195 | 14.69 |
| Deyun Chen | 3 | 21 | 10.35 |