Xad, Inc.

Hewlett-packard Development Company, L.P.

Other

Huitao Luo

Pravesh Katyal

Can Liang

Shashi Seth

Prakash Muttineni

Saravana Ravindran

Hari Venkatesan

Jonathan Yen

Shanshan Tuo

Daniel R Tretter

Srihari Venkatesan

Yi Jia

Al Rashid

Akshay Tilak

Dipanshu Sharma

Feng Wan

Sunil Kumar

Nishant Khatri

Deborah Zhang

Yilin Chen

Chi-Chao Chang

Mauricio Mediano

Vimpy Batra

Richard Chiou

Crystal Shi

Suk Hwan Lim

Tong Zhang

Ramin Samadani

Pere Obrador

Mei Chen

Jonathan I Schwartz

Niaz R Pavel

Stephen Anderson

George Rekouts

David Chock

Dipanshu Shama

The present disclosure provides novel techniques to segment mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a first set of mobile entities and a second set of mobile entities are determined based at least on first and second predefined constraints. A feature set related to a mobile segment is also identified, the feature set including a plurality of features. A plurality of feature gains corresponding, respectively, to the plurality of features are then determined, and a set of mobile entities are add to the mobile segment based at least one the plurality of feature gains, and for each particular feature of the plurality of features, frequency of events associated with each of the set of mobile entities and having the particular feature.

System and method for segmenting mobile entities based on detected mobile events

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

Using on-line and off-line projections to control information delivery to mobile devices

A system coupled to a packet-based network is configured to generate geo-blocks for location-based information services. Each of the geo-blocks corresponds to a geographical region within a geographical area and has at least one border defined by a real-world object. The system is configured to obtain geo data related to real-world objects including transportation routes and natural boundaries in the geographical area, partition the geographical area into initial geo-blocks using the geo data, process a plurality of information requests with respect to at least some of the initial geo-blocks and with respect to initial geo-fences associated with a plurality of points of interests (POIs) to generate entries in one or more databases, and machine train a mobile device location prediction model based on the entries in the one or more databases.

Systems and methods for mobile device location prediction

The present disclosure provides novel techniques to segment mobile entities based on signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data files are structured for filtering and searching with respect to features associated with the signals from mobile devices, including location and non-location features. The data files are used to determine feature gains corresponding respectively to features related to a mobile segment. The features include first features of a first type and second features of a second type. The feature gains are used, among other things, to rank mobile entities for the mobile segment, with feature gains corresponding to the first features given a larger weight than feature gains corresponding to the second features.

System and method for segmenting mobile entities based on mobile device signals

A system coupled to a packet-based network is configured to generate geo-blocks for location-based information services. Each of the geo-blocks corresponds to a geographical region within a geographical area and has at least one border defined by a real-world object. The system is configured to obtain geo data related to real-world objects including transportation routes and natural boundaries in the geographical area, partition the geographical area into initial geo-blocks using the geo data, process a plurality of information requests with respect to at least some of the initial geo-blocks and with respect to initial geo-fences associated with a plurality of points of interests (POIs) to generate entries in one or more databases, and enrich at least some of the initial geo-block with block-level meta data derived from the entries in the one or more databases to form enriched geo-blocks that are highly indicative of location dependent attributes such as intention and demographics.

Systems and methods for predicting mobile device locations using processed mobile device signals

The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.

The disclosed technology includes system and method for impressing publicly displayed information on mobile devices. The method comprises determining at least a first place and a second place for a mobile device based on locations associated with the mobile device. Each of the first place and the second place being a place where the mobile device is regularly located as indicated by densities of the locations mapped over a geographical region and the corresponding time stamps. The first place and second place are used to determine one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where the mobile device is associated with one or more information documents, each of the one or more information documents including information publicly displayed along the one or more routes.

Method and apparatus for impressing publicly displayed information on mobile devices

Location data of a large number of mobile devices and map data are used to derive a large number of commute routes in a geographical area, which are used to build a relational database including associations between a plurality of road segments and a plurality of information documents. Each of the plurality of information documents corresponds to a billboard in the geographical area and includes information displayed by the billboard. A respective road segment in the relational database has one or more associations with one or more information documents, each of the one or more information documents being associated with the respective road segment by a corresponding probability value indicating a degree of likelihood of a traveler on the respective road segment being exposed to information displayed on a billboard corresponding to the each of the one or more information documents. The relational database is used to select publicly displayed information for delivery to mobile devices detected to be on public roads.

Method and apparatus for real-time delivery of publicly displayed information to mobile devices

The disclosed technology includes system and method for discovering key places for a mobile device based on historical location data associated with the mobile device. The key places are discovered by mapping the historical location data into predefined land areas in a geographical region, aggregating the historical location data into time interval sessions, selecting a first set of the predefined areas based on density of location data in each of the predefined land areas, and filtering the first set of the predefined areas to obtain the key places. The key places are used to estimate one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where one or more billboards and/or points of interests near the travel routes are associated with the mobile device or its user. Information documents for delivering to the mobile device are selected based at least on data in the association database.

Method and apparatus for delivering publicly displayed information to mobile devices based on location history

The present disclosure provides a mobile advertising platform in which mobile user locations and other information are translated into indications of mobile user intent to approach certain businesses, and advertisers can fill mobile advertising requests or choose to price their bids for mobile supplies based on such indications. In certain embodiments, pre-defined places associated with business/brand names are created, and mobile advertising requests are processed to determine if the associated with mobile devices have triggered any of these pre-defined places. If a mobile advertising request is determined to have triggered one or more of the pre-defined places, it is annotated with the triggered place(s), and advertisements are selected based on the triggered places and other factors. The annotated requests with the triggered places can also be commodities in a location market place, which are auctioned to the mobile advertisers, who can place their bids on the triggered places.

System and method for marketing mobile advertising supplies

System and method for characterizing mobile entities based on mobile device signals

A system coupled to a packet-based network is configured to generate geo-blocks for location-based information services. Each of the geo-blocks corresponds to a geographical region within a geographical area and has at least one border defined by a real-world object. The system is configured to obtain geo data related to real-world objects including transportation routes and natural boundaries in the geographical area, partition the geographical area into initial geo-blocks using the geo data, process a plurality of information requests with respect to at least some of the initial geo-blocks and with respect to initial geo-fences associated with a plurality of points of interests (POIs) to generate entries in one or more databases, and enrich at least some of the initial geo-block with block-level meta data extracted from the entries in the one or more databases to form enriched geo-blocks that are highly indicative of location dependent attributes such as intention and demographics.

Systems and methods for creating and using geo-blocks for location-based information service

A system for processing information requests associated with mobile devices comprises an information server configured to build a search query for an information request based on the location features and other data therein and to search an information database for matching information documents. The matching information documents including information documents having different types of performance measure, including a first document using an impression-based performance measure, a second document using a click/call-based performance measure and a third document using an off-line site-visit-based performance measure. The information server is further configured rank the matching documents based on their respective performance measures and to select a matching document based on their respective rankings. The information server is further configured to generate a projected probability of an off-line site visit in response to the second document being selected to fulfill the each request and impressed on an associated mobile device, and to adjust a budget of the second document based on the projected probability.

The present disclosure provides methods and systems that utilize mobile device location events and machine learning and generate predicative classification/regression model for lookalike prediction. Location related features, together with other user level information, are extracted, transformed and used as model feature input, and a client specified list of mobile devices or their associated users are used as prediction target. This system makes efficient use of different types of location events and thus offers improved scale and performance. It also enjoys many benefits offered by a machine learning platform, such as automatic adaptation to different lists of seed lists, addition of new features and changes in data statistical properties.

Growing community of inventors

Fremont, CA, United States of America

Huitao Luo