Complete context search system
AssigneeSquare Halt Solutions, Limited Liability Company
InventorJeffrey Scott Eder
Life of this patent
Estimating the term…
Abstract
A system, method and computer program product for developing an entity context frame or situation summary before using said context frame/situation summary to develop an index, perform a context search and return prioritized results. The search results may comprise a plurality of health related data where said health related data comprises a plurality of microbiome data.
Claims28
A non-transitory computer-readable medium having computer-executable instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising:
- obtaining a subject entity definition of a subject entity, a node depth criteria and an impact cutoff criteria;
- aggregating and preparing a plurality of data items that include data related to the subject entity for processing, wherein the data comprises at least one entity function, one or more entity function measures and a creation date for each of the plurality of data items;
- storing the aggregated plurality of data items in one or more context layers by a component of context;
- developing a subject entity situation summary by analyzing the subject entity related data, wherein the subject entity situation summary comprises a linear or nonlinear regression model of each of the one or more entity function measures, a relevance for each of the measures and one or more of the context layers;
- using the subject entity situation summary, the node depth criteria and the impact cutoff criteria to identify components of context to include in a composite index;
- creating a composite index for the data associated with the identified components of context, wherein the composite index comprises a column for the creation dates of the plurality of data items, a column for each of the identified components of context and a ranking for each of the plurality of data items of the composite index;
- receiving a search request;
- and
- providing a plurality of search results in response to the search request, wherein the plurality of search results are prioritized using a weight comprised of a mathematical combination of an index position ranking and a ranking provided by a relevance measure.
A method, comprising:
- using a computer and a mobile access device to complete processing comprising:
- obtaining a subject entity definition of a subject entity, a node depth criteria and an impact cutoff criteria;
- aggregating and preparing a plurality of data items that include data related to the subject entity for processing, wherein the data comprises at least one entity function, one or more entity function measures and a creation date for each of the plurality of data items;
- storing the aggregated plurality of data items in one or more context layers by a component of context;
- developing a subject entity situation summary by analyzing the subject entity related data, wherein the summary comprises a linear or nonlinear regression model of each of the one or more entity function measures, a relevance for each of the measures and one or more of the context layers;
- using the subject entity situation summary, the node depth criteria and the impact cutoff criteria to identify components of context to include in a composite index;
- creating a composite index for the data associated with the identified components of context, wherein the composite index comprises a column for the creation dates of the plurality of data items, a column for each of the identified components of context and a ranking for each of the plurality of data items of the composite index;
- receiving a search request;
- and
- providing a plurality of search results in response to the search request, wherein the plurality of search results are prioritized using a weight comprised of a mathematical combination of an index position ranking and a ranking provided by a relevance measure, wherein the subject entity physically exists, and wherein the subject entity situation summary supports a graphical display of a relative contribution of one or more drivers to the one or more entity function measures.
A system, comprising:
- a computing device and a storage device having computer-executable instructions stored therein which, if executed by the computing device, cause the computing device to perform operations comprising:
- obtaining a subject entity definition of a subject entity, a node depth criteria and an impact cutoff criteria;
- aggregating and preparing a plurality of data items that include data related to the subject entity for processing, wherein the data comprises at least one entity function, one or more entity function measures and a creation date for each of the plurality of data items;
- storing the aggregated plurality of data items in one or more context layers by a component of context;
- developing a subject entity situation summary by analyzing the subject entity related data, wherein the subject entity situation summary comprises a linear or nonlinear regression model of each of the one or more entity function measures, a relevance for each of the measures and one or more of the context layers;
- using the subject entity situation summary, the node depth criteria and the impact cutoff criteria to identify components of context to include in a composite index;
- creating a composite index for the data associated with the identified components of context, wherein the composite index comprises a column for the creation dates of the plurality of data items, a column for each of the identified components of context and a ranking for each of the plurality of data items of the composite index;
- receiving a search request from a mobile access device, and
- providing a plurality of search results in response to the search request, wherein the plurality of search results are prioritized using a weight comprised of a mathematical combination of an index position ranking and a ranking provided by a relevance measure, and wherein at least part of the data and the search request are obtained from a mobile device.
Dependencies are inferred from the claim text.