Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audience with greater accuracy.

An information providing device includes: a reception unit configured to receive current location information on a transportable power supply device from the transportable power supply device that supplies power to an electric apparatus detachably connected thereto; an information generation unit configured to generate use place information indicating a place of use of the transportable power supply device based on the received current location information; and a transmission unit configured to transmit the use place information to a service provider's terminal. The reception unit receives information on the electric apparatus connected to the transportable power supply device from the transportable power supply device. The use place information includes information on a type of the electric apparatus connected to the transportable power supply device.

A method for providing pre-data breach monitoring provides information to businesses that is useful to predict portions of the company data that may not be secured well enough and other risks associated with data breaches, such as employees that may not be trustworthy.

A method for automatically populating an ecommerce cart is disclosed. The method includes receiving a request to add a product item to a shopping cart of an ecommerce shopping environment. The method includes adding the product item to the shopping cart. The method includes updating, responsive to adding the product item, a shopping cart status. The method includes determining a failure of the shopping cart status to satisfy a purchasing criteria associated with the ecommerce shopping environment. The method includes selecting, responsive to determining the failure, an additional product item based on information associated with an user account. The method includes adding the additional product item to the shopping cart.

Embodiments of the invention are directed to a system and method for generating and transmitting shareable electronic notification data via a hardware device network. A non-transitory wireless signal is broadcasted from a front-line unit in a network of front-line units, and a user determined to be in proximity to the front-line unit receives via the wireless signal reward data from a database. Electronic notification data is transmitted to the user device, whereafter the electronic notification data is displayed and an option to share the reward data to a secondary user is provided. Once shared, the secondary user's user device establishes a connection to the front-line unit to receive the reward data from the rewards database.

Methods and systems are disclosed for determining resource suitability based at least in part on physical geographic mapping data. A learning/learning engine may be trained to determine such resource suitability using training data. The trained learning/learning engine may then me used to generate suitability indicators. The suitability indicators may be rendered in association with a map comprising the resource. The resource may be configurable to be shared amongst a plurality of physical resource users in a time displaced manner. learning

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

The present disclosure extracts contextual product feature model from requirement specification documents where the conventional methods fail to perform. Initially, the system receives a plurality of requirement specification documents pertaining to a product, a domain dictionary, a plurality of configuration parameters, and a plurality of extraction patterns. A product feature model is generated using a NLP based feature extraction technique. The product feature model includes a plurality of product feature elements comprising a feature area, a major feature and a plurality of features arranged hierarchically and classified into feature types. Further, a plurality of ContextType associations like core, client, geography and market are extracted for each of the plurality of features using a ContextType extraction technique. Finally, the plurality of ContextType associations is updated in the product feature model to obtain a contextual product feature model. Various types of feature exports can be generated using a natural language interface.

A prediction system provides combined prediction scores for a target geographic zone within a hierarchical geographical model. The combined prediction scores are generated based on correlations between sales data and household attributes. The combined prediction scores are pre-calculated, stored on a database, and transmitted to a client device based on a request from the client device.

The disclosed embodiments generally relate to in-store customer traffic analysis systems and methods. The system includes at least one sensor positioned within a retail store, at least one display associated with the at least one sensor, one or more memory devices storing instructions and one or more hardware processors configured to execute the instructions to perform operations. The operations include receiving a sensor signal indicating that a user device is within a proximity to the at least one sensor in the retail store, extracting a user device identifier from the sensor signal, correlating the sensor signal to the at least one display, generating a foot traffic record associated with the user device identifier and the at least one display, based on the received sensor signal, and storing the generated foot traffic record.