Abstract: A new approach is proposed to support virtual recruiting to automatically identify qualified candidates for a hiring company via artificial intelligence (AI)-driven data collection and analysis. First, data about professionals in a field of a job position offered by a hiring company is collected from various sources over the Internet. The collected information from the various sources are then matched, merged, and analyzed to identify a set of potential candidates for the position via one or more AI models. The set of potential candidates is further assessed and scored for mutual fit between the set of potential candidates and the hiring company's description for the position to determine a set of good matching candidates for the position. Personalized electronic communications customized towards the interests of the set of identified good matching candidates are automatically generated and sent to each of the set of good matching candidates.

Abstract: A new approach is proposed to support virtual recruiting to automatically identify qualified candidates for a hiring company via artificial intelligence (AI)—driven data collection and analysis. First, data about professionals in a field of a job position offered by a hiring company is collected from various sources over the Internet. The collected information from the various sources are then matched, merged, and analyzed to identify a set of potential candidates for the position via one or more AI models. The set of potential candidates is further assessed and scored for mutual fit between the set of potential candidates and the hiring company's description for the position to determine a set of good matching candidates for the position. Personalized electronic communications customized towards the interests of the set of identified good matching candidates are automatically generated and sent to each of the set of good matching candidates.

Abstract: Performance of server that is managing a group of servers, such as in a cloud, is analyzed by identifying patterns of threads executed in the server. A command is issued, repeatedly over a time period, to an operating system of the server to return a resource consumption value representative of the amount of computing resources consumed by one or more threads. The returned resource consumption values are stored and used to generate points on a graph which depicts the amount of computing resources consumed by the one or more threads over the time period and provide task breakdowns and latency information for each of the tasks.

Abstract: A system and a method generates at least one signature associated with document. In one embodiment, a document comprised of text is received and parsed to generate a token set. The token set includes a plurality of tokens. Each token corresponds to the text in the document that is separated by a predefined character characteristic. A score is calculated for each token in the token set based on a frequency and distribution of the text in the document. Each token is then ranked based on the calculated score. A subset of the ranked tokes is selected and a signature is generated for each occurrence of the selected tokens. The selected list of signatures is then output.

Abstract: Performance of server that is managing a group of servers, such as in a cloud, is analyzed by identifying patterns of threads executed in the server. A command is issued, repeatedly over a time period, to an operating system of the server to return a resource consumption value representative of the amount of computing resources consumed by one or more threads. The returned resource consumption values are stored and used to generate points on a graph which depicts the amount of computing resources consumed by the one or more threads over the time period and provide task breakdowns and latency information for each of the tasks.

Abstract: A system and method provides a graphical user interface (GUI) for users to monitor and manage sensitive information within an enterprise network. The GUI can provide users with information, such as the presence of input/output devices (I/O device), the location of documents containing sensitive information (sensitive documents), and the status of local security policy. The GUI can also provide users with real-time information, such as the occurrence of local security policy violations, the life-cycle of sensitive documents, and the sensitive information dynamic flow within the enterprise network.

Abstract: A system generates an output of documents having with a particular relevance range. The system receives an initial document comprising text, a list of documents for matching, each document comprising text, and a minimum substring match length. The system normalizes the text of the documents of the list of documents. The system searches common sub-strings between the text of the initial document and the text of each document of the list of documents. The system calculates a match percentage based on the search common sub-strings and outputs documents having a match percentage corresponding to a predetermined value. Also disclosed is a process for generating an output of documents within a particular relevance range.

Abstract: A system and a method generates at least one signature associated with document. In one embodiment, a document comprised of text is received and parsed to generate a token set. The token set includes a plurality of tokens. Each token corresponds to the text in the document that is separated by a predefined character characteristic. A score is calculated for each token in the token set based on a frequency and distribution of the text in the document. Each token is then ranked based on the calculated score. A subset of the ranked tokes is selected and a signature is generated for each occurrence of the selected tokens. The selected list of signatures is then output.

Abstract: A system and a method generates at least one signature associated with document. In one embodiment, a document comprised of text is received and parsed to generate a token set. The token set includes a plurality of tokens. Each token corresponds to the text in the document that is separated by a predefined character characteristic. A score is calculated for each token in the token set based on a frequency and distribution of the text in the document. Each token is then ranked based on the calculated score. A subset of the ranked tokes is selected and a signature is generated for each occurrence of the selected tokens. The selected list of signatures is then output.

Abstract: A system and method provides a graphical user interface (GUI) for users to monitor and manage sensitive information within an enterprise network. The GUI can provide users with information, such as the presence of input/output devices (I/O device), the location of documents containing sensitive information (sensitive documents), and the status of local security policy. The GUI can also provide users with real-time information, such as the occurrence of local security policy violations, the life-cycle of sensitive documents, and the sensitive information dynamic flow within the enterprise network.

Abstract: A system and a method generates at least one signature associated with document. In one embodiment, a document comprised of text is received and parsed to generate a token set. The token set includes a plurality of tokens. Each token corresponds to the text in the document that is separated by a predefined character characteristic. A score is calculated for each token in the token set based on a frequency and distribution of the text in the document. Each token is then ranked based on the calculated score. A subset of the ranked tokes is selected and a signature is generated for each occurrence of the selected tokens. The selected list of signatures is then output.

Abstract: A system generates an output of documents having with a particular relevance range. The system receives an initial document comprising text, a list of documents for matching, each document comprising text, and a minimum substring match length. The system normalizes the text of the documents of the list of documents. The system searches common sub-strings between the text of the initial document and the text of each document of the list of documents. The system calculates a match percentage based on the search common sub-strings and outputs documents having a match percentage corresponding to a predetermined value. Also disclosed is a process for generating an output of documents within a particular relevance range.