Name
Title | ||
|---|---|---|
An Approach To Effective Recommendation Considering User Preference And Diversity Simultaneously |
Abstract | ||
|---|---|---|
This paper addresses recommendation diversification. Existing diversification methods have difficulty in dealing with the tradeoff between accuracy and diversity. We point out the root of the problem in diversification methods and propose a novel method that can avoid the problem. Our method aims to find an optimal solution of the objective function that is carefully designed to consider user preference and the diversity among recommended items simultaneously. In addition, we propose an item clustering and a greedy approximation to achieve efficiency in recommendation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1587/transinf.2017EDL8039 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
diversification, e-commerce, recommender system | Recommender system,Pattern recognition,Computer science,Human–computer interaction,Artificial intelligence,Diversification (marketing strategy),E-commerce | Journal |
Volume | Issue | ISSN |
E101D | 1 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangchul Lee | 1 | 27 | 8.35 |
| Sang-Wook Kim | 2 | 792 | 152.77 |
| Sunju Park | 3 | 233 | 29.42 |
| Dong-Kyu Chae | 4 | 59 | 10.07 |