The multisided complexity of fairness in recommender systems
Recommender systems are poised at the interface between stakeholders: for example, job
applicants and employers in the case of recommendations of employment listings, or artists …
applicants and employers in the case of recommendations of employment listings, or artists …
Graph learning for exploratory query suggestions in an instant search system
E Palumbo, A Damianou, A Wang, A Liu… - Proceedings of the …, 2023 - dl.acm.org
Search systems in online content platforms are typically biased toward a minority of highly
consumed items, reflecting the most common user behavior of navigating toward content …
consumed items, reflecting the most common user behavior of navigating toward content …
Navigational, informational or punk-rock? an exploration of search intent in the musical domain
B Sguerra, M Baranes, R Hennequin… - Proceedings of the 30th …, 2022 - dl.acm.org
The search engine of music streaming platforms is a high-control method for navigating the
catalog. If one is to study users' search behavior in this context, one can leverage the vast …
catalog. If one is to study users' search behavior in this context, one can leverage the vast …
Bootstrapping Query Suggestions in Spotify's Instant Search System
A Liu, HJ Corona Pampin, E Palumbo - Proceedings of the 46th …, 2023 - dl.acm.org
Instant search systems present results to the user at every keystroke. This type of search
system works best when the query ambiguity is low, the catalog is limited, and users know …
system works best when the query ambiguity is low, the catalog is limited, and users know …
Improving content retrievability in search with controllable query generation
An important goal of online platforms is to enable content discovery, ie allow users to find a
catalog entity they were not familiar with. A pre-requisite to discover an entity, eg a book …
catalog entity they were not familiar with. A pre-requisite to discover an entity, eg a book …