Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: According to one aspect of the disclosure, a method comprises: receiving, by a first computing device, information about one or more applications running on a second computing device, the second computing device being one of a plurality of computing devices managed by the first computing device; determining, by the first computing device, whether to power down the second computing device based at least on an analysis of the information about the one or more applications; and responsive to a determination to shutdown the second computing device, sending, by the first computing device, a command to shutdown the second computing device, wherein the second computing device is configured to save state of the one or more applications to a storage device accessible to the plurality of computing devices.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: A method and a multi-directional attribute matching system (MAMS) determining a degree of match between item profiles with respective attributes possessed (AP) and respective attributes needed (AN) of varying credibility and varying importance are provided. The MAMS receives an attributes possessed list including the AP and an attributes needed list including the AN, from a predefined attribute list database. The AP and the AN have parent attributes or hierarchical sub-attributes. The MAMS merges multiple occurrences of AP and inputs to the attributes possessed list. The MAMS generates a matched attribute list for a side by matching the AP in an item profile with the AN in an item profile of another item by matching the AP with the AN. The MAMS computes a raw score and an attribute match score for each side using match formulae and computes a final score of the multi-directional match between the item profiles.

Abstract: A method of determining a Trac score representing an individual's future employment behavior using past and present employment behavior that are unrelated to skills and job match within a job and across multiple jobs of an individual when combined with public and available external records. A method employing a Trac score calculation system comprises at least one processor to execute computer program instructions for obtaining one or more ratings from one or more users through one or more user devices connected to the Trac score calculation system that assigns the credibility to the ratings. A combination of the Trac sub-score obtained by accumulating the ratings weighted by estimated credibility of each rating, and Adjustment sub-score obtained by processing available external records in public and private forms, creates a Trac score which is a numerical and reflects an aggregation of available data weighted by what is believed to affect the employment behavior.

Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: A method of determining a Trac score representing an individual's future employment behavior using past and present employment behavior that are unrelated to skills and job match within a job and across multiple jobs of an individual when combined with public and available external records. A method employing a Trac score calculation system comprises at least one processor to execute computer program instructions for obtaining one or more ratings from one or more users through one or more user devices connected to the Trac score calculation system that assigns the credibility to the ratings. A combination of the Trac sub-score obtained by accumulating the ratings weighted by estimated credibility of each rating, and Adjustment sub-score obtained by processing available external records in public and private forms, creates a Trac score which is a numerical and reflects an aggregation of available data weighted by what is believed to affect the employment behavior.

Abstract: A method and a medical rating system (MRS) for providing rating information related to medical items including, for example, medical products, medical services and their effects in a peer-to-peer networking environment while maintaining confidentiality of user information are provided. The MRS receives rating information related to one or more medical items in a peer-to-peer networking environment from multiple user devices. The MRS stores the received rating information and the user information associated with the rating information in separate databases to maintain confidentiality of the user information. The MRS assigns a credibility score to the stored peer-to-peer rating information based on credibility of a rating user and credibility of the stored rating information for the medical items. The MRS renders customized views of the stored rating information for the efficacy and effects associated with each medical item on a graphical user interface of the user device.

Abstract: A method and a multi-directional attribute matching system (MAMS) determining a degree of match between item profiles with respective attributes possessed (AP) and respective attributes needed (AN) of varying credibility and varying importance are provided. The MAMS receives an attributes possessed list including the AP and an attributes needed list including the AN, from a predefined attribute list database. The AP and the AN have parent attributes or hierarchical sub-attributes. The MAMS merges multiple occurrences of AP and inputs to the attributes possessed list. The MAMS generates a matched attribute list for a side by matching the AP in an item profile with the AN in an item profile of another item by matching the AP with the AN. The MAMS computes a raw score and an attribute match score for each side using match formulae and computes a final score of the multi-directional match between the item profiles.

Abstract: A method and a credible and relevant job seeker display system (CARJSDS) are provided. The CARJSDS renders the most credible and relevant information about a job seeker with or without regard to a job opportunity. The rendered credible and relevant information includes numerical scores determining a degree of match between a job seeker and a job opportunity; job seeker highlights, job seeker skills and attributes, job seeker job experience summaries, job seeker resumes, other additional documents, and job seeker bibliographic data such as location information, photo, and educational history on a graphical user interface of the reviewer's device to provide a meaningful insight to the reviewer during a job selection process.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: A method and a need matching system (NMS) determine a degree of match between item profiles with item attributes with varying ratings of varying credibility and need profiles with need attributes of varying importance. The NMS receives a first attribute list including the item attributes and a second attribute list including the need attributes from an attribute list database and creates a unique attribute list including unique item attributes, a merged attribute amount measure corresponding to each unique item attribute, and a merged credibility measure indicating credibility of the merged attribute amount measure by performing merging actions on first tuples in the first attribute list. The NMS generates a need match score by processing an attribute match score with an importance measure. The attribute match score is generated for each need attribute in a matched attribute list created by matching the unique item attributes with the need attributes.

Abstract: A method and an opportunity matching system (OMS) for determining a degree of match between opportunity seeker profiles with opportunity seeker skills of varying credibility and opportunity descriptions with opportunity description skills of varying importance are provided. The OMS receives a first skill list including the opportunity seeker skills and a second skill list including the opportunity description skills from a skill list database and creates a unique skill list including unique opportunity seeker skills, a merged skill amount measure corresponding to each unique opportunity seeker skill, and a merged credibility measure indicating credibility of the merged skill amount measure by performing merging actions on first tuples in the first skill list. The OMS generates an opportunity match score by processing a skill match score generated for each opportunity description skill in a matched skill list created by matching the unique opportunity seeker skills with the opportunity description skills.

Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

Abstract: The debt issuance of a company are credit enhanced via an investment platform wherein the company's issuances and investments are both subject to a master netting agreement between common counterparties, thereby creating a fully hedged transaction with an investible present value monetization of the future income stream for purposes of reinvesting. The Investment Platform comprises a proprietary Cross Settlement, Credit Enhancement, Risk-Mitigation and Netting System that has a hedged investment structure that automatically qualifies for credit enhancement wherein non-investment grade debt issuances can be transformed into investment grade debt issuances. The Investment Platform is powered by a proprietary investment algorithm and make-whole algorithm that matches movements in a selected benchmark rate or indices.

Abstract: The debt issuance of a company are credit enhanced via an investment platform wherein the company's issuances and investments are both subject to a master netting agreement between common counterparties, thereby creating a fully hedged transaction with an investible present value monetization of the future income stream for purposes of reinvesting. The Investment Platform comprises a proprietary Cross Settlement, Credit Enhancement, Risk-Mitigation and Netting System that has a hedged investment structure that automatically qualifies for credit enhancement wherein non-investment grade debt issuances can be transformed into investment grade debt issuances. The Investment Platform is powered by a proprietary investment algorithm and make-whole algorithm that matches movements in a selected benchmark rate or indices.