Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
Nicol\`o Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi

TL;DR
This paper introduces a new two-dimensional evaluation protocol for recommendation carousels that considers the interaction between multiple carousels and user position bias, improving the assessment of user satisfaction.
Contribution
It proposes a novel evaluation method that accounts for the presence of multiple carousels and their relative positions, addressing limitations of traditional isolated evaluation protocols.
Findings
Traditional evaluation protocols ignore carousel interactions and position bias.
The new protocol better predicts user satisfaction in multi-carousel interfaces.
Experiment results show different criteria are preferred for recommendations in carousel settings.
Abstract
It is common for video-on-demand and music streaming services to adopt a user interface composed of several recommendation lists, i.e. widgets or swipeable carousels, each generated according to a specific criterion or algorithm (e.g. most recent, top popular, recommended for you, editors' choice, etc.). Selecting the appropriate combination of carousel has significant impact on user satisfaction. A crucial aspect of this user interface is that to measure the relevance a new carousel for the user it is not sufficient to account solely for its individual quality. Instead, it should be considered that other carousels will already be present in the interface. This is not considered by traditional evaluation protocols for recommenders systems, in which each carousel is evaluated in isolation, regardless of (i) which other carousels are displayed to the user and (ii) the relative position of…
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