Enhancing Group Recommendation by Knowledge Graph

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publicationPACIS 2018 Proceedings
Subtitle of host publicationOpportunities and Challenges for the Digitized Society: Are We Ready?
EditorsMotonari Tanabu, Dai Senoo
Number of pages8
Publication statusPublished - 26 Jun 2018

Conference

Title22nd Pacific Asia Conference on Information Systems (PACIS 2018)
LocationYokohama Royal Park Hotel
PlaceJapan
CityYokohama
Period26 - 30 June 2018

Abstract

With the rapid development of IT, more and more information/knowledge sharing and discovery activities are moved from offline to online and many online groups have been created to facilitate such activities. However, due to the information asymmetric and information overload problems, information/knowledge holders face difficulty disseminating their information/knowledge to online groups whose members are of interests. It is also difficult for groups of users to find the most related information/knowledge. Traditional individual recommendation techniques cannot solve this problem effectively because they cannot capture the preferences of a group of users. To generate recommendations for a group of users, this paper proposes a knowledge graph-enhanced group recommendation method in which knowledge graph is used to construct comprehensive profiles for groups and information/knowledge to be recommended. The proposed group recommendation method is evaluated with real- world data and the evaluation results demonstrate the effectiveness of the proposed method.

Research Area(s)

  • Group recommendation, knowledge graph, profile construction, recommendation service design

Citation Format(s)

Enhancing Group Recommendation by Knowledge Graph. / Deng, Weiwei; Zhu, Peihu; Ma, Jian.

PACIS 2018 Proceedings: Opportunities and Challenges for the Digitized Society: Are We Ready?. ed. / Motonari Tanabu; Dai Senoo. 2018. 214.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)