Patent Document ID: 7822762
Application ID: 11427311

Base Claim:
1. A computer-implemented system that customizes computer-based search related to an entity, comprising a memory having stored therein computer executable components and at least one processor that executes the following computer executable components: a goal determination component that gathers data associated with the entity, the data corresponding to a goal of the entity, a mission of the entity, or a purpose of the entity, wherein the entity comprises a group of individuals, and wherein the data associated with the entity corresponds to least the group of individuals; a search model that is trained with the data associated with the entity; a query modification component that employs the search model to modify a search query into a modified search query as a function of the data associated with the entity, the query modification component configured to modify the search query into the modified search query transparent to a user inputting the search query; a search engine that receives the search query from an individual in the entity, communicates the search query to the query modification component, receives the modified search query from the query modification component, retrieves entity-based search results in accordance with the modified search query, and provides the entity-based search results to the individual in the entity; a rendering component that uses the trained search model to re-rank the entity-based search results prior to display to the user; a results configuration component that organizes a subset of the entity-based search results; and wherein the rendering component performs a utility-based analysis in connection with displaying the subset of the entity-based search results to the user, wherein the utility-based analysis factors a probability of cost of displaying a result to the user versus a probability of benefit of displaying the result to the user.

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Claim 3:
3. The computer-implemented system of claim 1 , wherein the search model is trained with data mined from a subset of the group of individuals.