Sign inGet started
Paper · arXiv

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine

In daily fantasy sports (DFS), match participation is highly time-sensitive. Users must act within a narrow window before a game begins, making match recommendation a time-critical task to prevent missed engagement and revenue loss. Existing recommender systems, typically designed for static item catalogs, are ill-equipped to handle the hard temporal deadlines inherent in these live events. To address this, we designed and deployed a recommendation engine using the Deep Interest Network (DIN) architecture. We adapt the DIN architecture by injecting temporality at two levels: first, through real-time urgency features for each candidate match (e.g., time-to-round-lock), and second, via temp...

AuthorsUnmesh Padalkar
Primary categorycs.IR
Published15 April 2026
Last updated at source15 April 2026
cs.IRcs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/ba36d03b-27b1-415a-8fa2-bdd3ea470363" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.