A system for ranking geospatial entities is described. In one embodiment, the system comprises an interface for receiving ranking data about a plurality of geospatial entities and an entity ranking module. The module uses a ranking mechanism to generate place ranks for the geospatial entities based on the ranking data. Ranked entity data generated by the entity ranking module is stored in a database. The entity ranking module may be configured to evaluate a plurality of diverse attributes to determine a total score for a geospatial entity. The entity ranking module may be configured to organize ranked entity data into placemark layers.

Provided is a process that determines a device-dwell graph based on noisy reported geolocations for mobile computing devices.

According to an embodiment, an information processing apparatus detects a product whose number of sales tends to increase in a wide area. The information processing apparatus acquires the number of searches of the product from a preset first information source. The information processing apparatus calculates a proportion of positive reviews about the product from reviews posted to the first information source. In addition, the information processing apparatus determines whether wide demand for the product can be expected on the basis of the acquired number of searches and the calculated proportion of the positive reviews.

Disclosed herein are systems, methods, and machine readable media for implementing a service for sharing and providing information about food and recipes, and in certain embodiments, including a step of automatically identifying dishes present in photos stored on a mobile device. Automatic identification of dishes in images may be used to populate a food and recipe database, suggest restaurants serving similar food, estimate nutritional content in a user's diet, populate a shopping list, and provide other food-related services.

Embodiments provide computer apparatuses, computer systems and computer-executable methods for generating geographic zone information associated with a consumer. A method includes receiving a first geographic location associated with the consumer, and programmatically identifying a first geographic zone associated with the first geographic location. The method also includes programmatically generating a first importance score associated with the first geographic zone and associated with the consumer. The method also includes storing, on a non-transitory computer-readable medium, the first geographic zone and the first importance score associated with the consumer.

Implementations of a computer implemented method and system to transform geolocation exchange unit specifications and transportation and freight and parking and tolling and curb management and transportation management association unit securities or derivative unit securities or unitization structure capacity units with two waypoints or a destination waypoint or a series sequence of waypoints into multi-modal objects which are tradable as commodities such as wheat, oil, corn, stocks, foreign exchange, fixed income or other forward or securitized markets and broadcast those unitized prices, indices and associated news over a plurality of electronic devices. The present disclosed invention relates to combining the concepts of objected oriented programming and navigation systems and social networking, price-time priorities queues, replacement costs, termination valuations, financial markets, commodity structuring transformation or unitization structures as a fungible asset classes or tradable markets.

Arrangements are provided for identifying a second fraudulent subscription replacing a first fraudulent subscription. A method is performed by a fraudulent subscription detection system. The method includes obtaining notification of the first fraudulent subscription having been identified in a SIM box. The method comprises obtaining historical network data of the first fraudulent subscription. The method com includes prises generating a model based on the historical network data. The method includes identifying the second fraudulent subscription replacing the first fraudulent subscription in the SIM box upon providing live network data as input to the model. The method includes providing an identification of the second fraudulent subscription to at least one of a subscription manager entity and a user interface of a Manual Analysis component.

A fuel price determination system may receive transaction data identifying purchases, made with transaction cards and mobile transaction card applications of client devices, of fuel at fuel stations. The fuel price determination system may receive location data identifying locations associated with users of the client devices and the transaction cards, and user history data associated with prior purchases of fuel at fuel stations by the users. The fuel price determination system may process the transaction data, location data, and user history data, with a machine learning model, to determine fuel prices at the fuel stations. The fuel price determination system may determine a ranked list of particular fuel stations in a geographical area based on the fuel prices and populate, based on the location data and the ranked list, a map to identify the particular fuel stations and the fuel prices at the particular fuel stations.

A media level of each Self-Service Terminal (SST) within a customized group of SSTs are managed in real time based on a current media level and a predicted optimal media level for each SST over a given period of time. During management, depositors are proactively steered away from media heavy SSTs to media deficient SSTs within the group. Any given SST of the group may have deposits temporarily disabled based on real-time instruction. Depositors that are being redirected may be incentivized to encourage the depositors to deposit at the cash deficient SSTs of the group.

Systems as described herein may include predicting item level data based on merchant advertisement information. A transaction pattern may be detected. The merchant advertisement information may be retrieved and parsed to generate a price list. A number of transactions that each shares a common payment amount may be determined and the number may reach a threshold value. Items from the price list may be matched with the common payment amount. The transaction records may be updated to indicate likely item level transaction information. In a variety of embodiments, the likely transaction information may be presented to a user.