Name
Abstract | ||
|---|---|---|
This paper addresses recommendation diversification. Existing diversification methods have a difficulty in dealing with the accuracy-diversity tradeoff. We propose a novel method to simultaneously optimize the user preference and diversity of k-items to be recommended. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3041021.3054220 | WWW (Companion Volume) |
Field | DocType | Citations |
Recommender system,World Wide Web,Computer science,Diversification (marketing strategy),E-commerce | Conference | 1 |
PageRank | References | Authors |
0.35 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang-Chul Lee | 1 | 287 | 24.04 |
| Sang-Wook Kim | 2 | 792 | 152.77 |
| Sunju Park | 3 | 233 | 29.42 |
| Dong-Kyu Chae | 4 | 59 | 10.07 |