TL;DR
The results show that in-row sorting significantly reduced task completion time with descriptive trends suggesting more uniform completion times across cognitive styles, although sorting also increased selection mistakes relative to the baseline.
Carousel interfaces allow a recommender system to directly observe how far a user has browsed. This signal distinguishes displayed but unclicked items from items that were never displayed, whereas conventional ranking-bandit models, including cascade and position-based models, generally treat examination as latent. We...
E-commerce search pages are critical touchpoints for millions of online shoppers. While traditional search engines return a ranked list of results, modern E-commerce search pages increasingly incorporate recommender system modules -- for example, secondary stacks that surface alternative product groupings at specific p...
Recommender systems play a crucial role in helping users discover relevant and diverse products tailored to their preferences. However, challenges such as the cold-start problem and low recommendation diversity still persist, particularly in single-approach models such as Content-Based Filtering (CBF) and Collaborative...
Pairwise comparison is a standard method for eliciting user preferences in recommender systems and group decision-making. The number of required comparisons grows quadratically with the number of alternatives, creating a substantial burden for users and platforms. This paper asks whether Hodge decomposition, which spli...
This work adopts an interdisciplinary approach to investigate how interactions with conversational recommender systems (CRSs) can foster user trust, compared to faceted search interfaces commonly used in e-commerce. We present an empirical comparison between a system-driven CRS and a functionally equivalent faceted sea...
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