Abstract: The system may validate a data source having a structured format and a grammar that includes tags. The system may identify a tag in the grammar. The system may parse the data source to extract attributes and/or values associated with the tags in response to successful validation. The system may also write the attributes and/or values to an output file separated by a preselected delimiter. A configuration file may identify the grammar, the preselected delimiter, and/or the data source. The data source may be in an XML format or a JSON format. The system may generate execution ready code in response to the validating the data source and the grammar. The output file may be a load ready file for ingestion into a big data storage format. The tag may include a parent tag and a sub tag corresponding to a hierarchy in the data source.

Abstract: A system may deliver personalized content to a user. The system may create a user persona based on demographic information and stored clickstream data of the user. The system may learn which functionalities the user typically uses on a webpage, and the system may create a personalized version of the webpage for the user.

Abstract: The system may validate a data source having a structured format and a grammar that includes tags. The system may identify a tag in the grammar. The system may parse the data source to extract attributes and/or values associated with the tags in response to successful validation. The system may also write the attributes and/or values to an output file separated by a preselected delimiter. A configuration file may identify the grammar, the preselected delimiter, and/or the data source. The data source may be in an XML format or a JSON format. The system may generate execution ready code in response to the validating the data source and the grammar. The output file may be a load ready file for ingestion into a big data storage format. The tag may include a parent tag and a sub tag corresponding to a hierarchy in the data source.

Abstract: A computer-aided testing is provided for design verification of integrated circuits. More specifically, a method of generating a test case in design rule checking is provided for that includes extracting coordinates of an error marker for a first error identified in an integrated circuit design. The method further includes identifying a first rectangle that encloses the error marker. The method further includes generating a first test case based on data of the integrated circuit design contained within the rectangle. The method further includes determining whether the first test case is representative of the first error. The method further includes in response to determining the first test case is not representative of the first error, identifying a second rectangle that is between the first rectangle and a third rectangle. The method further includes generating a second test case based on data of the integrated circuit design contained within the second rectangle.

Abstract: Systems, methods, apparatuses and computer program products are provided for monitoring and managing patient health conditions. Information is stored for defining care channels corresponding to health categories which are utilized to classify patients based on health status and risk information. Patient information is retrieved from a plurality of data sources, and analyzed to detect care node flags that identify unfavorable health conditions and to assign a care channel to the patient. One or more care programs are assigned to the patient based, at least in part, on the assigned care channel and detected care node flags. The patient is transitioned to one or more care channels as the patient's health improves or degrades. A personalized health timeline is generated for the patient which summarizes the patient's medical history and other related information.

Abstract: A plurality of geofences sharing a common geospatial characteristic can be established by using a graphical user interface (“GUI”) to receive a geofence command that expresses the common geospatial characteristic in natural language. The geofence command is parsed to identify proximity terms (which can be used to set the overall size of the geofence) and geospatial labels (which can be used to identify the “centers” of the geofences). The geospatial labels are used to search a geographic information system (“GIS”) for entities therein that match the geospatial labels. Geofences are established about these entities using the proximity term to determine the size thereof.

Abstract: An individualized interest graph is mapped by receiving raw data, including social media data, pertaining to the individual, extracting key terms from the raw data, querying a knowledge base with the key terms to identify uniform resource identifiers (“URIs”) in the knowledge base, identifying categories within the knowledge base that encompass the URIs, and defining the interest graph to include these categories. An analogous process can be followed to generate a segment graph. Overlap between the individualized interest graph and the segment graph can be used to segment the individual, for example to personalize a retail interaction with the individual.

Abstract: A computer-aided testing is provided for design verification of integrated circuits. More specifically, a method of generating a test case in design rule checking is provided for that includes extracting coordinates of an error marker for a first error identified in an integrated circuit design. The method further includes identifying a first rectangle that encloses the error marker. The method further includes generating a first test case based on data of the integrated circuit design contained within the rectangle. The method further includes determining whether the first test case is representative of the first error. The method further includes in response to determining the first test case is not representative of the first error, identifying a second rectangle that is between the first rectangle and a third rectangle. The method further includes generating a second test case based on data of the integrated circuit design contained within the second rectangle.

Abstract: A computer-aided testing is provided for design verification of integrated circuits. More specifically, a method of generating a test case in design rule checking is provided for that includes extracting coordinates of an error marker for a first error identified in an integrated circuit design. The method further includes identifying a first rectangle that encloses the error marker. The method further includes generating a first test case based on data of the integrated circuit design contained within the rectangle. The method further includes determining whether the first test case is representative of the first error. The method further includes in response to determining the first test case is not representative of the first error, identifying a second rectangle that is between the first rectangle and a third rectangle. The method further includes generating a second test case based on data of the integrated circuit design contained within the second rectangle.

Abstract: A computer-aided testing is provided for design verification of integrated circuits. More specifically, a method of generating a test case in design rule checking is provided for that includes extracting coordinates of an error marker for a first error identified in an integrated circuit design. The method further includes identifying a first rectangle that encloses the error marker. The method further includes generating a first test case based on data of the integrated circuit design contained within the rectangle. The method further includes determining whether the first test case is representative of the first error. The method further includes in response to determining the first test case is not representative of the first error, identifying a second rectangle that is between the first rectangle and a third rectangle. The method further includes generating a second test case based on data of the integrated circuit design contained within the second rectangle.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: Methods, systems, and apparatuses for online monitoring systems to determine offline advertising effectiveness. Information related to an advertisement for a product is received. The advertisement is presented through offline media. The information includes an advertising schedule. Communications related to the product that are received from the consumers in the market at the time the advertisement is presented, are detected. Data responsive to the detected communications are collected; the data represent a number of consumers in the market. A statistical correlation between the collected data and the advertising schedule is determined and provided to the advertiser as a report of the effectiveness of the advertising.

Abstract: Publisher information, such as information about available advertising space, may be received from publishers. Advertisers may provide requests associated with a print ad and receive a list of publishers with available print ad space. The list of publishers may include at least one publisher having a specified relationship with the advertiser. The advertiser may provide an offer for placing the print ad in a publication of one or more publishers on the list and may be inhibited from placing an offer for the print ad with publishers having a specified relationship with the advertiser.