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Leveraging interfaces to improve recommendation diversity

Tsai, CH and Brusilovsky, P (2017) Leveraging interfaces to improve recommendation diversity. In: UNSPECIFIED.

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Abstract

© 2017 ACM. Increasing diversity in the output of a recommender system is an active research question for solving a long-tail issue. Most of the current approaches have focused on ranked list optimization to improve recommendation diversity. However, little is known about the e.ect that a visual interface can have on this issue. .is paper shows that a multidimensional visualization promotes diversity of social exploration in the context of an academic conference. Our study shows a significant difference in the exploration pa.ern between ranked list and visual interfaces. .e results show that a visual interface can help the user explore a a more diverse set of recommended items.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Tsai, CHcht77@pitt.eduCHT77
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 9 July 2017
Date Type: Publication
Journal or Publication Title: UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
Page Range: 65 - 70
Event Type: Conference
DOI or Unique Handle: 10.1145/3099023.3099073
Refereed: Yes
ISBN: 9781450350679
Date Deposited: 09 Aug 2017 15:13
Last Modified: 01 Nov 2017 12:57
URI: http://d-scholarship.pitt.edu/id/eprint/32810

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