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Providing Control and Transparency in a Social Recommender System for Academic Conferences

Tsai, Chun-Hua and Brusilovsky, Peter (2017) Providing Control and Transparency in a Social Recommender System for Academic Conferences. In: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 09 July 2017 - 12 July 2017, Bratislava, Slovakia.

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Abstract

A social recommender system aims to provide useful suggestion to the user and prevent social overload problem. Most of the research efforts are spent on push high relevant item on top of the ranked list, using a weight ensemble approach. However, we argue the ``learned'' static fusion is not enough to specific contexts. In this paper, we develop a series visual recommendation components and control panel for the user to interact with the recommendation result of an academic conference. The system offers a better recommendation transparency and user-driven fusion through recommended sources. The experiment result shows the user did fuse the different recommended sources and exploration patterns among tasks. The post-study survey is positively associated with the system and explanation function effectiveness. This finding shed light on the future research of design a recommender system with human intervention and the interface beyond the static ranked list.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Tsai, Chun-Huacht77@pitt.eduCHT77
Brusilovsky, Peterpeterb@pitt.eduPETERB
Date: 2017
Date Type: Publication
Publisher: ACM
Place of Publication: New York, NY, USA
Page Range: 313 - 317
Event Title: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
Event Dates: 09 July 2017 - 12 July 2017
Event Type: Conference
Refereed: Yes
Uncontrolled Keywords: explanation, social, recommendation, transparency, user, control
Official URL: http://doi.acm.org/10.1145/3079628.3079701
Date Deposited: 09 Aug 2017 15:14
Last Modified: 25 Aug 2017 04:55
URI: http://d-scholarship.pitt.edu/id/eprint/32809

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