Abstract: Systems and methods for automatically generating search list rankings of software components are provided. An exemplary method includes generating a list of software components in response to a request, generating ranking parameters, determining first weight values correlating with each of the ranking parameters, generating an index correlating each of the software components with each of the ranking parameters, parsing web data to populate the index, determining, via the ranking parameters, scores for each of the software components, storing the scores on the index, applying the first weight values to the scores on the index, and generating, for each of the software components, a combined score, wherein the combined score is a combination of each of the scores that are associated with each of the software components.

Abstract: A food processing machine for processing a food product includes a processing module having a housing with a sidewall, opposing end walls, and a chamber between the end walls and a conveyor extending through the end walls and the chamber and configured to convey the food product through the chamber. A microwave generating device is coupled to the sidewall and configured to generate microwave energy. A waveguide assembly is configured to receive the microwave energy, direct the microwave energy along a waveguide axis, and subsequently direct the microwave energy in a transverse direction that is transverse to the vertical direction through the sidewall and into the chamber such that the microwave energy heats the food products.

Abstract: Systems and methods for automatically generating natural language insights for software components from calculated scores are provided. An exemplary method includes identifying the software component uniquely, identifying sources to gather information for the software component, accessing information for the software component from the identified sources, and tabulating the retrieved information. Support summary insights are generated based on the trained catalog of the natural language terms and the tabulated information and indicate a quality of support for the software component. Quality summary insights are generated based on the trained catalog of the natural language terms and the tabulated information and indicate about a quality of the software component. Security summary insights are generated based on the trained catalog of the natural language terms and the tabulated information of the software component and indicate how secure the software component is.

Abstract: Methods and systems for enabling dynamic filters for software search optimization are disclosed. In one aspect, a method includes receiving a search request, user requirements, and the user preferences from the search system, computing one or more filters from a list comprising a programming language filter, a software component license filter, a software component sources filter, a software component support provided filter, a software component type filter, an industry domain filter choices, and a software component security filter, generating a filter widget based on the one or more computed filters, and applying the filter widget crawling internet sources to provide search results.

Abstract: Systems and methods for automatically generating search list rankings of software components are provided. An exemplary method includes generating a list of software components in response to a request, generating ranking parameters, determining first weight values correlating with each of the ranking parameters, generating an index correlating each of the software components with each of the ranking parameters, parsing web data to populate the index, determining, via the ranking parameters, scores for each of the software components, storing the scores on the index, applying the first weight values to the scores on the index, and generating, for each of the software components, a combined score, wherein the combined score is a combination of each of the scores that are associated with each of the software components.

Abstract: Systems and methods for automatically creating a software component reference guide from multiple information sources are disclosed. In one aspect, the method includes receiving, from a user, a request for reference guides for a software components and view corresponding results, identifying the software component, identifying different sources of information for the software component, generating introductory information of the software component, generating technology details of the software component, generating frequently asked questions (FAQs) and their related solutions associated with the software component, training a catalog of natural language terms related to the software components, and providing, based on the trained catalog, the introductory information, technology details, and FAQs to the user.