Dell Products Inc.

David Edward Frattura

Eloy Francisco Macha

Stephen J Todd

Robert Anthony Lincourt, Jr

Nicole Reineke

Robert A Lincourt

A method and system for metadata-based learning curriculum generation. A learning curriculum may generally refer to an ordered (or sequenced) manifest of learning materials and/or content that may progressively advance user proficiency in at least a learning topic of interest. Existing systems or solutions offering learning curriculums today rely on the availability of static assets supported by static metadata descriptive thereof. As an improvement over said existing systems/solutions, embodiments disclosed herein enable newly introduced and ingested information, from across various data sources, to dynamically update the metadata and, therefore, dynamically update any learning curriculum(s) contingent on said metadata. Moreover, accessibility or inaccessibility to any given asset (e.g., learning material and/or content) may depend on the access authority granted to the user(s) seeking said given asset.

Metadata-based learning curriculum generation

Generating compilation methods using sustainability. Code is compiled in a manner that accounts for sustainability values. When a compilation request is received, sustainability values are identified. The resources needed to fulfill the compilation request are identified based on the sustainability values and available resources. Once the resources that are likely to best meet the sustainability values, the compilation request is performed using those resources.

System and method of using sustainability to establish compilation methods aligned with sustainability goals

A method and system metadata-based query rewriting. Query rewriting may generally refer to the automatic transformation of search queries in order to better represent the intent of the searcher (i.e., reason(s) motivating the searcher to conduct any search query). Embodiments disclosed herein, more specifically, leverage captured asset metadata, for assets hosted across various internal and external data sources, as well as graph techniques, to provide search query results that more closely match the said intent of the searcher. The graph techniques lead to the identification of adjacent areas and topics to the original search query, thereby enhancing the recall and/or precision of any returned search query results.

Metadata-based query rewriting

A method and system for business intent-assisted search. A business intent may generally refer to information, respective to an organization user, which may pertain to or describe the engagement of the organization user within and/or outside their organization (e.g., a commercial business, an education institution, etc.). Embodiments disclosed herein, accordingly, implement search query processing based on the business intent modeled for the search query submitter (e.g., an organization user). Further, a recall of any returned information, relevant to the search query, may be contingent on and/or directly correlated with a completeness of the modeled business intent for any given organization user.

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Stamford, CT, United States of America

David Edward Frattura