Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU154632" target="_blank" >RIV/00216305:26230/24:PU154632 - isvavai.cz</a>

Result on the web

<a href="https://dl.acm.org/doi/abs/10.1145/3616855.3635734" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3616855.3635734</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank

Original language description

Although carousels (also-known as multilists) have become the standard user interface for recommender systems in many domains (e-commerce, streaming services, etc.) replacing the ranked list, there are many unanswered questions and undeveloped areas when compared to the literature for ranked lists. This is due to two significant barriers: lack of public datasets and lack of eye tracking user studies of browsing behavior. Clicks, the standard feedback collected by recommender systems, are insufficient to understand the whole interaction process of a user with a recommender requiring system designers to make assumptions, especially on browsing behavior. Eye tracking provides a means to elucidate the process and test these assumptions. In this extended abstract, the PhD project is outlined, which aims to address the open research questions in carousel recommender systems by: 1) improving our understanding of users' browsing behavior with carousels, 2) formulating a new click model based on

Czech name

—

Czech description

—

Type

O - Miscellaneous

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů