Comparing User Interfaces for Customizing Multi-Objective Recommender Systems

Boratto L.;
2024-01-01

Abstract

The goal of Multi-Objective Recommender Systems (MORSs) is to adapt to the needs and preferences of the users from different beyond-accuracy perspectives. When a MORS operates at the local level, it tailors its results to the needs of each individual user. Recent studies have highlighted that, however, the self-declared propensity of the users towards the different objectives does not always match with the characteristics of the accepted recommendations. Therefore, in this study, we delve into different ways for users to express their preference toward multi-objective goals and observe whether they have some impact on declared propensities and overall user satisfaction. In particular, we explore four different user interface (UI) designs and perform a user study focused on the interactions with both the UI and the recommendations. Results show that multiple UIs lead to similar results w.r.t. usage statistics, but users’ perceptions of these UIs often differ. These results highlight the importance of examining MORSs from multiple perspectives to accommodate the users’ actual needs when producing recommendations. Study data and detailed results are available from https://osf.io/pbd54/.
2024
Inglese
IntRS 2024. Interfaces and Human Decision Making for Recommender Systems 2024. Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024). Hybrid Event, Bari, October 18, 2024.
CEUR-WS
3815
15
28
14
https://ceur-ws.org/Vol-3815/paper2.pdf
11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2024
Comitato scientifico
October 18, 2024
Bari, Italy
scientifica
Multi-objective recommender systems; Recommender systems UI; User study
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Dokoupil, P.; Boratto, L.; Peska, L.
273
3
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
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paper2.pdf

open access

Type: versione editoriale
Size 2.16 MB
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