Abstract: Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Abstract: A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Abstract: The present disclosure is directed generally to systems and methods for the server side matching of web analytics and content viewing. According to the methods and systems disclosed herein, a first identifier is delivered to a client device when the client device accesses a first website. If the client device later accesses of a second website the first identifier can be processed by the system to determine if the client device previously accessed the first website.

Abstract: Systems and methods for retroactively performing dimension widening on a data element are provided. A described method includes receiving a set of data elements from a database and a set of dimension widening rules. The method further includes identifying one or more of the data elements to which any of the dimension widening rules are applicable. The method further includes processing the identified data elements by applying the applicable dimension widening rules to the identified data elements. A dimension widening delta is generated for each data element, and the dimension widening deltas may be stored. The method further includes merging one or more of the data elements with one or more of the dimension widening deltas in response to a query.

Abstract: Systems and methods for performing dimension widening on a data element are provided. A described method includes receiving a set of dimension widening rules, and receiving a data element having one or more dimensions. The method further includes determining if any of the dimension widening rules are applicable to the data element. The data element may be stored in either a first database or second database based on a result of the determination. Data elements stored in the first database may be processed by applying the dimension widening rules to the data elements.

Abstract: Systems and methods for retroactively performing dimension widening on a data element are provided. A described method includes receiving a set of data elements from a database and a set of dimension widening rules. The method further includes identifying one or more of the data elements to which any of the dimension widening rules are applicable. The method further includes processing the identified data elements by applying the applicable dimension widening rules to the identified data elements. A dimension widening delta is generated for each data element, and the dimension widening deltas may be stored. The method further includes merging one or more of the data elements with one or more of the dimension widening deltas in response to a query.

Abstract: A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Abstract: Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Abstract: Systems and methods of evaluating merchant performance in a computer networked environment are provided. A data processing system can obtain ecommerce traffic data identifying a product, and can obtain, separately from the ecommerce traffic data, catalog data not present in the ecommerce traffic data. Subsequent to obtaining the ecommerce traffic data and the catalog data, the data processing system can receive a query for a report. The query can include a key identifying the product. Using the key and responsive to the query for the report, the data processing system can direct a plurality of report generation servers to join at least part of the ecommerce traffic data with at least part of the catalog data to create joined data. The data processing system can generate the report, including the joined data, and the data processing system can provide the report to a merchant computing device.

Abstract: Methods and systems for matching a plurality of visits to a website with a plurality of content selection parameters including aggregating a number of visits to the website, determining whether the website includes an identifier, based on the determination, retrieving information associated with the identifier, wherein the information comprises the plurality of content selection parameters, and matching the plurality of content selection parameters with the plurality of visits to the website to create a report.

Abstract: Subject matter disclosed herein relates to document classification and/or automated document classifier tuning. In an example embodiment, a document received from a user computing platform in an online database stored in a memory of a server computing platform may be classified based, at least in part, on a training set. Also for an example embodiment, the training set may be modified based, at least in part, on statistics gathered from user browsing behavior.

Abstract: Subject matter disclosed herein relates to document classification and/or automated document classifier tuning.

Abstract: A method of generating a diversified vertical search results listing, including listing attribute values related to search criteria and their frequency of occurrence to create a plurality of listings; creating a plurality of interval bands based on the plurality of listings; generating a random diversity score for each listing over a substantially uniform distribution within each of the plurality of bands; and sorting a set of search results for diversified listing in response to a user searching for the search criteria according to the diversity score of each listing.