Abstract: Various methods are provided for determining and displaying local content. One example method may comprise receiving input, at an interface of a global positioning system (GPS) enabled mobile device, to open a mobile application, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and a current time and automatically generating a query, identifying local content from a content index in accordance with an editing target, and upon determination that the number of articles specified by the editing target has not been met, climbing, by an editing algorithm, a place hierarchy to determine a larger geographic area in which to meet the editing target, the larger geographic area containing the location, and displaying the results, via an interface, on the GPS enabled mobile device.

Abstract: The present disclosure generally relates to systems and methods for generating termination notification of an experiment to be presented through a user interface. In some implementation examples, a termination notification system generates a probability value that is valid as of a time period of an experiment at a predetermined point in time based on at least data sample obtained during the time period, predicted sample sizes of each time period of the experiment, or probability values generated prior to the time period. Responsive to determining that the probability value that is valid as of the time period satisfies a threshold value, the termination notification system causes the user interface to present the termination notification that, when selected, causes the experiment to terminate prior to completion of a predicted duration of the experiment.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

Abstract: Provided herein are systems, methods and computer readable media for identifying content to represent web pages and creating a representative image from the content. An example method may include retrieving a web document using a uniform resource locator (URL) contained in a dequeued work item, determining, from the web document, candidate images for creation of the representative image including extracting image references, wherein the image references are extracted by identifying image tags with source attributes, values of which are URLs locating images, filtering the URLs using a blacklist of expressions designed to match the URLs of images comprising one or more predefined undesirable characteristics, and retrieving the images which do not match any of the expressions using an HTTP client, and creating the representative image, comprising at least modifying a chosen image selected from among the candidate images.

Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

Abstract: Embodiments are provided that improve persona tracking and use to improve the accuracy of determinations and actions that rely on such persona(s). Some example embodiments track user information associated with a profile. Example embodiments further generate personas associated with the profile based on the user information. Example embodiments further receive time data and/or location data from a user device. Example embodiments further determine a selected persona based on the time data and/or the location data. Example embodiments further determine a preference dimension value based on the selected persona. Example embodiments further identify promotion data representing a plurality of promotions. Example embodiments further, for each promotion, generate a first dimension score corresponding to the preference dimension value based on the selected persona. Example embodiments further determine a ranking for the promotions based on the first dimension score for each promotion.

Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: Various methods are provided for determining and displaying local content. One example method may comprise receiving input, at an interface of a global positioning system (GPS) enabled mobile device, to open a mobile application, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and a current time and automatically generating a query, identifying local content from a content index in accordance with an editing target, and upon determination that the number of articles specified by the editing target has not been met, climbing, by an editing algorithm, a place hierarchy to determine a larger geographic area in which to meet the editing target, the larger geographic area containing the location, and displaying the results, via an interface, on the GPS enabled mobile device.

Abstract: Systems and related methods of providing promotional offers to consumers are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to provide promotional offers to consumers based on dimensions representing criteria by which promotions may be deemed relevant to a consumer. Some examples of dimensions may include location, time, environment, price, and/or consumer preference. Based on receiving signals from the consumer device, among other sources, indicating associated times, locations, and other characteristics of consumer activity, the apparatus may recognize patterns or trends in consumer behavior, and use such information to predict or influence future consumer behavior.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: Various methods are provided for determining and displaying local content. One example method may comprise receiving input to open a mobile application at a mobile device, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and automatically generating a query, the query comprising the GPS location, identifying a predefined mix of content from a content index in accordance with an editing target, wherein the editing target specifies a number of articles and wherein the predefined mix indicates a portion of the editing target directed to at least one category, determining whether the editing target and the predefined mix are met, determining a new location, the new location being larger in geographic area and containing the location, in an instance in which the editing target and the predefined mix are not met, and displaying the results.

Abstract: Various methods are provided for determining and displaying local content. One example method may comprise receiving input to open a mobile application at a mobile device, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and automatically generating a query, the query comprising the GPS location, identifying a predefined mix of content from a content index in accordance with an editing target, wherein the editing target specifies a number of articles and wherein the predefined mix indicates a portion of the editing target directed to at least one category, determining whether the editing target and the predefined mix are met, determining a new location, the new location being larger in geographic area and containing the location, in an instance in which the editing target and the predefined mix are not met, and displaying the results.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: Systems and related methods of providing promotional offers to consumers are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to provide promotional offers to consumers based on dimensions representing criteria by which promotions may be deemed relevant to a consumer. Some examples of dimensions may include location, time, environment, price, and/or consumer preference. Based on receiving signals from the consumer device, among other sources, indicating associated times, locations, and other characteristics of consumer activity, the apparatus may recognize patterns or trends in consumer behavior, and use such information to predict or influence future consumer behavior.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: A method for quantifying localness of content can be organized into several stages of information acquisition and processing, with each stage focusing on filtering or qualifying content based on geographic information relevant to a place. The method may comprise bootstrapping an initial set of terms for the place, building a local content corpus for the place utilizing the initial set of terms, and populating an index with information from documents in the local content corpus. In response to a request about the place, a query is formed and provided to the index for retrieving local content relevant to the place.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.