Patent classifications
G06Q30/0205
SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL TO CALCULATE USER ELASTICITY AND GENERATE RECOMMENDATIONS USING HETEROGENEOUS DATA
A method may include generating a feature table, hierarchical segments, and a graph network based on raw interaction data of a set of users. The method may further include generating a set of rankings for features in the feature table. The method may further include targeting hierarchical segments of the set of users through marketing campaigns and calculate a set of elasticity scores for the set of users in response to the marketing campaigns in the hierarchical segments. The method may further include generating item recommendations for the set of users based on the graph network. The method may further include executing a machine learning model to generate an uplift score for each user from the set of users based on at least one of the raw interaction data, the set of rankings, hierarchical segments, the set of elasticity scores, or the item recommendations.
Live Local Services Results
The technology generally relates to identifying, in response to a search request, service providers currently available and able to perform the requested service. The identified service providers may be output as part of a list or identified on a map in response to the search request. The service providers may be ranked based on one or more factors, such as their availability at the time of the search request, a distance from the service provider's business location to the work location, a distance from a current location of the service provider to the work location, feedback pertaining to the service provider, etc. Each factor may be weighted such that one factor may influence the rank of the service provider more than another. Based on the weights, each service provider may be scored. Service providers with a higher score may be prioritized in the search results.
Mobile Commerce Framework
A subscription-based system for providing commerce information for one or more mobile devices for one or more merchants. Some techniques employed feature a subscription-based method for presenting commercial resources to a mobile device. The method involves receiving mobile device user information relating to a geographic location to locate one or more merchants within a subscription-based shopping network, and receiving mobile device user information relating to a merchant type within the subscription-based shopping network. The method also involves receiving, from a database over a communication network, information for one or more merchants associated with the mobile device user information for the geographic location and the merchant type, and presenting the associated merchant information on the mobile device. The associated merchant information can include a merchant name and address, a merchant telephone number, a merchant advertisement, a merchant coupon, or a merchant product or service offering to subscribers of the shopping network.
SYSTEMS AND METHODS FOR TRANSMITTING ESTABLISHMENT INFORMATION
A computing system is configured to receive location data from a wireless device of a user. Upon receiving a search request from the wireless device, the computing system utilizes the location data to determine one or more likely travel routes of the user of the wireless device. In response to the search request, the computing system may select one or more establishments based on the likely travel routes and location data associated with the one or more establishments. The computing system may further transmit to the wireless device information associated with the selected one or more establishments.
METHODS FOR SPATIALLY RELATIVE APPORTIONMENT OF GEOSPATIAL DATA IN DISTRIBUTED COMPUTING SYSTEMS, AND RELATED SYSTEMS AND APPARATUS
A method and processing system for assessing of the health of a network of retail locations in a defined geographic area, by a process including the development of a greenfield benchmark score for a network of ideally sited locations, followed by the development of a brownfield score of current locations, for comparison to the greenfield score. The invention is further applicable to decisions to open a new location, relocate an existing location or close an existing location. In these cases, the effect of opening a new location, or relocating or closing an underperforming location is evaluated by recalculating the brownfield score after the addition of each of several potential new locations, and/or after relocating or closing each of several poorly performing locations.
GENERATION OF AUDIO STORIES FROM TEXT-BASED MEDIA
The present embodiments relate to creating an audio story based on text-based media. An audio story can include an audio representation of the text-based media. The audio representation of the text-based media can be modified to incorporate supplemental media content at a series of time positions of the audio representation to generate the audio file. The audio story can be played back on a client device. The audio story can output along with the text-based media on an application executing on the client device. Authors of text-based media and audio stories can create/edit/publish text-based media and/or audio stories on an authoring interface.
GAS ENERGY-SAVING PROMPTING METHOD BASED ON COMPOUND INTERNET OF THINGS (IOT) AND IOT SYSTEM
The present invention provides a gas energy-saving prompting method based on a compound Internet of Things (IoT) and an IoT system, and relates to the field of energy consumption. The gas energy-saving prompting method based on the compound Internet of Things (IoT) and the IoT system generate the monthly normal gas usage amount associated with each user sub-platform based on the information on family size, family members' ages, geographic location and seasons sent by each of the user sub-platforms as well as the pre-trained neural network algorithm model. When the management platform judges that the monthly actual gas usage amount of the user is greater than the monthly normal gas usage amount, a gas overconsumption prompt is generated. The calculated monthly normal gas usage amount meets the practical requirements, with high reliability and reference value, so that the system targets to remind an individual family to save gas, but not stop the supply of gas or send a prompt in a whole area, improving the user experience.
ADVERTISEMENT ENGAGEMENT MEASUREMENT
Systems, and methods for selecting advertisements based on party size and/or engagement are provided. An Internet-connected media display device may be detected as displaying media. An up-to-date party size in a monitored space may be determined based on frequency response data by a wireless access point located close to the space. An up-to-date engagement level may also be determined with respect to each individual in the space based on frequency response data by the wireless access point. An advertisement database may be filtered for a qualifying advertisement based on the identified party size and engagement levels.
Interactive cross-provider health care presentation and modification system
A cross-provider health care system is provided to analyze provider health care determinations with respect to a baseline and present interactive controls for modification of the determinations. Interactive maps are provided for presenting and interacting with health care provider characteristics.
LOCATION INFORMATION PROCESSING METHOD AND APPARATUS
Systems, methods, and storage media for location information processing are disclosed. An example of a method comprises: obtaining transaction information from user terminals of a plurality of users using a service provided by a service provider, the transaction information comprising a plurality of pieces of location information of the user terminals; clustering, using an algorithm, the plurality of pieces of location information into a plurality of areas; determining a transaction attribute corresponding to each area in the plurality of areas, the transaction attribute comprising a number of users in a corresponding area and a number of transactions of users using the service in the corresponding area; determining, according to information entropy values of the transaction attributes, a dispersity of the service provided by the service provider according to a number of areas in the plurality of areas and a plurality of transaction attributes corresponding to the plurality of areas.