A single-step approach to recommendation diversification

Sang Chul Lee; Sunju Park; Sang Wook Kim; Dong Kyu Chae

doi:10.1145/3041021.3054220

A single-step approach to recommendation diversification

Sang Chul Lee
, Sunju Park
, Sang Wook Kim
, Dong Kyu Chae

Division of Nanotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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.

Original language	English
Title of host publication	26th International World Wide Web Conference 2017, WWW 2017 Companion
Publisher	International World Wide Web Conferences Steering Committee
Pages	809-810
Number of pages	2
ISBN (Electronic)	9781450349147
DOIs	https://doi.org/10.1145/3041021.3054220
State	Published - 2017
Event	26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017

Publication series

Name	26th International World Wide Web Conference 2017, WWW 2017 Companion

Conference

Conference	26th International World Wide Web Conference, WWW 2017 Companion
Country/Territory	Australia
City	Perth
Period	3/04/17 → 7/04/17

Bibliographical note

Publisher Copyright:
© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.

Keywords

Diversification
E-commerce
Recommender system

Access to Document

10.1145/3041021.3054220

Cite this

Lee, S. C., Park, S., Kim, S. W., & Chae, D. K. (2017). A single-step approach to recommendation diversification. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 809-810). (26th International World Wide Web Conference 2017, WWW 2017 Companion). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054220

@inproceedings{bec5873129ee46cf93d681eeed979f5a,

title = "A single-step approach to recommendation diversification",

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.",

keywords = "Diversification, E-commerce, Recommender system",

author = "Lee, \{Sang Chul\} and Sunju Park and Kim, \{Sang Wook\} and Chae, \{Dong Kyu\}",

note = "Publisher Copyright: {\textcopyright} 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.; 26th International World Wide Web Conference, WWW 2017 Companion ; Conference date: 03-04-2017 Through 07-04-2017",

year = "2017",

doi = "10.1145/3041021.3054220",

language = "English",

series = "26th International World Wide Web Conference 2017, WWW 2017 Companion",

publisher = "International World Wide Web Conferences Steering Committee",

pages = "809--810",

booktitle = "26th International World Wide Web Conference 2017, WWW 2017 Companion",

}

Lee, SC, Park, S, Kim, SW & Chae, DK 2017, A single-step approach to recommendation diversification. in 26th International World Wide Web Conference 2017, WWW 2017 Companion. 26th International World Wide Web Conference 2017, WWW 2017 Companion, International World Wide Web Conferences Steering Committee, pp. 809-810, 26th International World Wide Web Conference, WWW 2017 Companion, Perth, Australia, 3/04/17. https://doi.org/10.1145/3041021.3054220

A single-step approach to recommendation diversification. / Lee, Sang Chul; Park, Sunju; Kim, Sang Wook et al.
26th International World Wide Web Conference 2017, WWW 2017 Companion. International World Wide Web Conferences Steering Committee, 2017. p. 809-810 (26th International World Wide Web Conference 2017, WWW 2017 Companion).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A single-step approach to recommendation diversification

AU - Lee, Sang Chul

AU - Park, Sunju

AU - Kim, Sang Wook

AU - Chae, Dong Kyu

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Diversification

KW - E-commerce

KW - Recommender system

UR - https://www.scopus.com/pages/publications/85060290678

U2 - 10.1145/3041021.3054220

DO - 10.1145/3041021.3054220

M3 - Conference contribution

AN - SCOPUS:85060290678

T3 - 26th International World Wide Web Conference 2017, WWW 2017 Companion

SP - 809

EP - 810

BT - 26th International World Wide Web Conference 2017, WWW 2017 Companion

PB - International World Wide Web Conferences Steering Committee

T2 - 26th International World Wide Web Conference, WWW 2017 Companion

Y2 - 3 April 2017 through 7 April 2017

ER -

A single-step approach to recommendation diversification

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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