Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.

Abstract: A system for customized document portfolio management. Corresponding methods and user interfaces are provided accordingly for allowing customized document portfolio management. In an preferred embodiment the system includes a document metadata database storing a plurality of documents and meta information thereof, a management server programmed to rule engine, search, security engine and notification engines, and a web server providing an interactive website for displaying documents and allowing creation of a customized portfolio. The customized portfolio management system preferably provides notification on the website, apprising users of changes in the status of their documents. Unique technical identification codes may be used to establish relationships among document.

Abstract: A search engine (100) has a top down transversal algorithm (112) that distinguishes active objects of a website from orphan files depicted in graphs of HTML files of a graph database of the objects and their HTML relations. A collection building utility (120) assembles a batch collection of solely the active objects for retrieval by a search query, which prevents retrieval of an orphan file that would provide a website visitor with incorrect information.

Abstract: A system for customizing a design portfolio for an IC product. An IP library management server allows IP providers to upload IP libraries and subsequently verify and sort the uploaded IP libraries. A technology document server allows a foundry to upload technology documents and verify and sort the uploaded technology document. A database stores the verified technology documents, IP libraries, and meta information associated therewith. A design portfolio management server provides a terminal user the verified technology documents and IP libraries for creation of a customized design portfolio thereby and further monitoring the customized design portfolio to send notification when the portfolio status changes.

Abstract: A system for customized document portfolio management. Corresponding methods and user interfaces are provided accordingly for allowing customized document portfolio management. In an preferred embodiment the system includes a document metadata database storing a plurality of documents and meta information thereof, a management server programmed to rule engine, search, security engine and notification engines, and a web server providing an interactive website for displaying documents and allowing creation of a customized portfolio. The customized portfolio management system preferably provides notification on the website, apprising users of changes in the status of their documents. Unique technical identification codes may be used to establish relationships among document.