IEICE TRANSACTIONS on Information
An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.1 pp.244-248
- Publication Date
- 2018/01/01
- Publicized
- 2017/09/28
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017EDL8039
- Type of Manuscript
- LETTER
- Category
- Data Engineering, Web Information Systems
Authors
Sang-Chul LEE
Hanyang University
Sang-Wook KIM
Hanyang University
Sunju PARK
Yonsei University
Dong-Kyu CHAE
Hanyang University
Keyword
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Sang-Chul LEE, Sang-Wook KIM, Sunju PARK, Dong-Kyu CHAE, "An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 1, pp. 244-248, January 2018, doi: 10.1587/transinf.2017EDL8039.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8039/_p
Copy
@ARTICLE{e101-d_1_244,
author={Sang-Chul LEE, Sang-Wook KIM, Sunju PARK, Dong-Kyu CHAE, },
journal={IEICE TRANSACTIONS on Information},
title={An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously},
year={2018},
volume={E101-D},
number={1},
pages={244-248},
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.},
keywords={},
doi={10.1587/transinf.2017EDL8039},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously
T2 - IEICE TRANSACTIONS on Information
SP - 244
EP - 248
AU - Sang-Chul LEE
AU - Sang-Wook KIM
AU - Sunju PARK
AU - Dong-Kyu CHAE
PY - 2018
DO - 10.1587/transinf.2017EDL8039
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2018
AB - 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.
ER -
English
