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Exploiting trustors as well as trustees in trust-based recommendation

Authors:

Won-Seok Hwang,

Shaoyu Li,

Sang-Wook Kim,

Ho Jin ChoiAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 1893 - 1896

https://doi.org/10.1145/2505515.2507889

Published: 27 October 2013 Publication History

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Abstract

In a trust network, two users who are connected by a trust relationship tend to have similar interests. Based on this observation, existing trust-aware recommendation methods predict ratings for a target user on unseen items by referencing to ratings of those users who are reachable from the target user in the forward direction of trustor-trustee relationship through the trust network. However, these methods have overlooked the possibility of utilizing the ratings of those users reachable in the backward direction, which may also have similar interests. In this paper, we investigate this possibility by identifying and adding these users to the existing methods when predicting ratings for the target user. We perform a series of experiments and observe that our approach improves the coverage while preserving the accuracy.

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Cited By

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Lee YKim SPark SXie XChampin PGandon FMédini LLalmas MIpeirotis P(2018)How to Impute Missing Ratings?Proceedings of the 2018 World Wide Web Conference10.1145/3178876.3186159(783-792)Online publication date: 10-Apr-2018
https://dl.acm.org/doi/10.1145/3178876.3186159
Oh HKim JKim SLee K(2018)A unified framework of trust prediction based on message passingCluster Computing10.1007/s10586-018-1807-xOnline publication date: 5-Feb-2018
https://doi.org/10.1007/s10586-018-1807-x
Lee SKim SPark SSuen CAghdam AGuo MHong JNadimi E(2013)Recommendation in online shopping mallsProceedings of the 2013 Research in Adaptive and Convergent Systems10.1145/2513228.2513254(116-117)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1145/2513228.2513254

Index Terms

Exploiting trustors as well as trustees in trust-based recommendation
1. Information systems
  1. Information systems applications
    1. Data mining

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Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Lee YKim SPark SXie XChampin PGandon FMédini LLalmas MIpeirotis P(2018)How to Impute Missing Ratings?Proceedings of the 2018 World Wide Web Conference10.1145/3178876.3186159(783-792)Online publication date: 10-Apr-2018
https://dl.acm.org/doi/10.1145/3178876.3186159
Oh HKim JKim SLee K(2018)A unified framework of trust prediction based on message passingCluster Computing10.1007/s10586-018-1807-xOnline publication date: 5-Feb-2018
https://doi.org/10.1007/s10586-018-1807-x
Lee SKim SPark SSuen CAghdam AGuo MHong JNadimi E(2013)Recommendation in online shopping mallsProceedings of the 2013 Research in Adaptive and Convergent Systems10.1145/2513228.2513254(116-117)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1145/2513228.2513254

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