Machine learning editorial pairing with predictive queries influencing user behavior

摘要

Disclosed herein is an application enabling users to interface dynamically with live sports. Algorithmic generation of user-tailored editorial content that influences sports-bettor behavior, to increase engagement and manage risk. By showing bettors editorial content that could influence the side of the bet they might wish to take (for example, by pointing out that a certain player is playing particularly well or poorly), a sportsbook can influence the ratio of bets (or better, dollars wagered) on either side of a given event. On a more individual level, by showing users content that increases their engagement—such as content about a favorite player or local team, for example—the book can increase a user's propensity to bet in general, with a good sense for which types of bet the user is likely to favor.