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

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:	Creators Email Pitt Username ORCID Tsai, CH cht77@pitt.edu CHT77 0000-0001-9188-0362 Brusilovsky, P peterb@pitt.edu PETERB 0000-0002-1902-1464
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:	30 Mar 2021 11:55
URI:	http://d-scholarship.pitt.edu/id/eprint/32810

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