Comparing User Interfaces for Customizing Multi-Objective Recommender Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10494546" target="_blank" >RIV/00216208:11320/24:10494546 - isvavai.cz</a>
Výsledek na webu
<a href="https://ceur-ws.org/Vol-3815/paper2.pdf" target="_blank" >https://ceur-ws.org/Vol-3815/paper2.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparing User Interfaces for Customizing Multi-Objective Recommender Systems
Popis výsledku v původním jazyce
The goal of Multi-Objective Recommender Systems (MORSs) is to adapt to the needs and preferences of the usersfrom different beyond-accuracy perspectives. When a MORS operates at the local level, it tailors its results tothe needs of each individual user. Recent studies have highlighted that, however, the self-declared propensityof the users towards the different objectives does not always match with the characteristics of the acceptedrecommendations. Therefore, in this study, we delve into different ways for users to express their preferencetoward multi-objective goals and observe whether they have some impact on declared propensities and overalluser satisfaction. In particular, we explore four different user interface (UI) designs and perform a user studyfocused on the interactions with both the UI and the recommendations. Results show that multiple UIs leadto similar results w.r.t. usage statistics, but users' perceptions of these UIs often differ. These results highlightthe importance of examining MORSs from multiple perspectives to accommodate the users' actual needs whenproducing recommendations. Study data and detailed results are available from https://osf.io/pbd54/.
Název v anglickém jazyce
Comparing User Interfaces for Customizing Multi-Objective Recommender Systems
Popis výsledku anglicky
The goal of Multi-Objective Recommender Systems (MORSs) is to adapt to the needs and preferences of the usersfrom different beyond-accuracy perspectives. When a MORS operates at the local level, it tailors its results tothe needs of each individual user. Recent studies have highlighted that, however, the self-declared propensityof the users towards the different objectives does not always match with the characteristics of the acceptedrecommendations. Therefore, in this study, we delve into different ways for users to express their preferencetoward multi-objective goals and observe whether they have some impact on declared propensities and overalluser satisfaction. In particular, we explore four different user interface (UI) designs and perform a user studyfocused on the interactions with both the UI and the recommendations. Results show that multiple UIs leadto similar results w.r.t. usage statistics, but users' perceptions of these UIs often differ. These results highlightthe importance of examining MORSs from multiple perspectives to accommodate the users' actual needs whenproducing recommendations. Study data and detailed results are available from https://osf.io/pbd54/.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-21696S" target="_blank" >GA22-21696S: Hluboké vizuální reprezentace nestrukturovaných dat</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů