Patent ID: 11947606
Assignee: STRONG FORCE TX PORTFOLIO 2018, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 24:
25. A computer implemented method, comprising:
training, by a computing device having one or more processors, a machine learning model, based on times to achieve a desired user outcome, to predict and indicate search result presentation data, wherein the times to achieve the desired user outcome correspond to elapsed times between: (i) when search results are transmitted to a user or the user selects a particular search result, and (ii) when the user has completed a transaction associated with achieving the desired user outcome, wherein the times to achieve the desired user outcome are inversely proportional to a utility of the search results such that: (i) a shorter time corresponds to a higher utility of the search results, and (ii) a longer time corresponds to a lower utility of the search results;
receiving, by the computing device, at least a first fragment from a user via a user interface in a computing environment;
automatically generating, by the computing device, an anticipated search result in the computing environment based on at least the first fragment;
automatically displaying, by the computing device, search results that include an arrangement of a plurality of visual content elements based on the anticipated search result;
detecting, by the computing device, signals from a user computer device to automatically infer an intent of the user during idle time associated with the user computer device;
applying, by the computing device, the trained machine learning model to present alternate visual content elements in the user interface for engaging the user during the idle time, the alternate visual content elements including at least one of news and entertainment content; and
directing, by the computing device, the user to content at one of a network and local destination associated with one of the visual content elements selectable by the user within the user interface.