Evaluation of a Search Interface for Preference-Based Ranking -- Measuring User Satisfaction and System Performance
Dagmar Kern, Wilko van Hoek, and Daniel Hienert

TL;DR
This study evaluates a preference-based search interface that weights user preferences to improve product search satisfaction and system performance, showing increased user satisfaction and more relevant options compared to standard faceted search.
Contribution
Introduces and empirically tests a preference-based ranking interface that accounts for weighted and conflicting preferences in product search.
Findings
Users received more relevant product options with the new interface.
Users reported higher satisfaction with preference-based search.
Potential correlation between user satisfaction and search precision.
Abstract
Finding a product online can be a challenging task for users. Faceted search interfaces, often in combination with recommenders, can support users in finding a product that fits their preferences. However, those preferences are not always equally weighted: some might be more important to a user than others (e.g. red is the favorite color, but blue is also fine) and sometimes preferences are even contradictory (e.g. the lowest price vs. the highest performance). Often, there is even no product that meets all preferences. In those cases, faceted search interfaces reach their limits. In our research, we investigate the potential of a search interface, which allows a preference-based ranking based on weighted search and facet terms. We performed a user study with 24 participants and measured user satisfaction and system performance. The results show that with the preference-based search…
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