Groupon, Inc.

Bytedance Inc.

Roger Henry Castillo

Thomas Jack

Brian Andrew Humphrey

Joaquin Delgado

Boris Lerner

Emma Sawin

Alvaro Viloria

Jikai Lei

Ramesh Maddula

Vijay A Kumar

Lawrence Lee Wai

Amber Roy Chowdhury

Bhupesh Bansal

Sri Subramaniam

Sridatta Viswanath

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.

System, method, and computer program product for automated discovery, curation and editing of online local content

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.

Machine learning systems architectures for ranking

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.

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.

Systems, methods and computer readable media for identifying content to represent web pages and creating a representative image from the content

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.

Systems and methods for providing dimensional promotional offers

Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy. An example method may include receiving a feature vector r that represents occurrence counts of references in a document's text to each of a group of named entities, and determining whether the document is associated with the particular location by querying, to determine a query result, using feature vector r, at least one location-specific classifier from a group of location-specific classifiers, wherein the location-specific classifier is associated with the particular location, and wherein the location-specific classifier is configured to generate a positive output value in response to receiving an input feature vector representing occurrence count of at least one reference to the particular named entity and determining that the document is associated with the particular location in an instance in which the query result includes data indicating that the positive output value was generated by the location-specific classifier that is associated with the particular location.

Method, apparatus, and computer program product for classification of documents

Various methods for generating a content corpus populated with content related to a particular geographic area are provided herein. One example method comprises, for each document in an initial local content corpus, applying a first set of heuristic filters to the raw content of each document, identifying at least a second term, applying a second set of heuristic filters to the raw content of each document, the second set of heuristic filters associated with the second term, iteratively performing the identification of additional terms and application of an additional set of heuristic filters associated with the additional terms until each identifiable term is extracted, determining a level on a geographic containment hierarchy indicative of a location to which each document from the set of documents is local, and for each place in a gazette, and for each document, determining a set of points in polygons indicative of its locality.

System, method, and computer program product for generation of local content corpus

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.

A method for generating a body of content relevant to a geographical space can comprise building a gazette containing a lexicon of at least people, places, and organizations. A system can process content obtain from a plurality of sources to bootstrap an initial set of entities for each of the places in the gazette. A local content corpus can be created utilizing the initial set of entities. This bootstrapping process may utilize geocodes and/or heuristics that are topological, people oriented, place oriented, etc. The bootstrapping may further comprise ascribing the content based on human curated documents known to be local to the place. Documents in the local content corpus are semantically related to each other with respect to the place.

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Palo Alto, CA, United States of America

Roger Henry Castillo