Techniques are disclosed for selecting audience members for a marketing campaign. A list of potential members is accessed, where each member is associated with a corresponding feature vector comprising features. A subset of the features is selected, and used to select a first group from the list for inclusion in the campaign, thereby also defining a second group from the list for exclusion from the campaign. A first similarity among the members in the first group is compared to a second similarity between the members in the first and second groups. If the first similarity is equal to or lower than the second similarity, the subset of features is updated to form a new subset of features, and the selection process of target audience member is repeated, until the first similarity becomes higher than the second similarity. Subsequently, the marketing campaign is launched with the first group of members.

Various implementations directed to price time priority queue routing for time interval object capacity units are provided. The method may also include generating data packet routes based on the origin location data and the destination location data. The method may further include determining virtual hubs along the data packet routes, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving travel cost data for the routes for geolocation time interval object exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the data packet routes. The method may also include selecting an optimized route of the routes for the geolocation exchange units based on an objective function.

Provided are a computer program product, system, and method for generating constraints based on reported crop arrivals to marketplaces and remote sensed data to estimate farm yields of farm fields. A total arrival quantity constraint for a marketplace is generated comprising a function of a reported arrival of crops at a marketplace and an estimated arrival to the marketplace comprising a sum of farm yields for the farm fields, wherein the farm yields comprise variables to optimize. Sensed data of the farm fields is used to determine relationships of the farm yields for the farm fields. Comparative farm yield constraints are generated comprising relationships of the farm yields for different pairs of farms. A constraint optimization problem is solved based on the total arrival quantity constraint and comparative farm yield constraints to calculate the farm yields of the farm fields.

The present disclosure proposes systems and methods to create an integrated centralized database that aggregates repair material and labor cost data by geographic area in real time and provides a repair cost estimating platform based on data collected from various data sources including directly from roofing contractors who have recently performed repairs.

The present disclosure generally relates to an electronic system, a computerized method, and a non-transitory computer-readable storage medium for advertisement pricing. The system comprises a host server configured for performing steps of the method comprising: generating an electronic map representation of a geographical area; demarcating the electronic map representation into a plurality of demarcated regions; retrieving, from a transaction database, transaction data associated with merchant transactions in the plurality of demarcated regions; receiving, from a telecommunications service provider, mobile traffic data for generating consumer traffic data indicative of consumer traffic activity in the plurality of demarcated regions; and performing an advertisement pricing process to determine advertisement prices for each demarcated region based on at least the transaction data and consumer traffic data.

Systems and methods for identifying market share and sales potential are provided. Data is retrieved from databases with sales revenue potential and forecasted sales revenue of a company. Retrieved data is categorized to reflect user input indicating a type of market share analysis to be performed. The categorized data is provided at a graphical representation comprising a bar for each category. A first portion of the bar reflects a total value of the potential sales revenue and a second portion of the bar reflects the forecasted sales revenue such that relative market share may be quickly assessed.

A system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive travel data associated with a travel plan of a user indicating one or more travel destinations. The instructions cause the one or more processors to receive destination risk data indicating a destination risk of the one or more travel destinations associated with transmission of an infectious disease, receive personal risk data indicating a risk of the user associated with the infectious disease, and generate an infection travel risk score for the user based on the destination risk data and the personal risk data.

A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

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.

A computer-implemented method allows a wait time to be determined automatically for a queue area. The queue is part of an environment and includes defined entrance and exit areas. A series of images showing the environment are received over time. A wait time associated with the queue area is determined by detecting a location of a object corresponding to a person in a first one of the images; associating the object with an identifier uniquely identifying the object in the first one of the images matching objects in later images; and determining the wait time based on times associated with an image in which an object associated with the identifier enters the queue area through the defined entrance area and later one of the images in which an object associated with the identifier exits the queue area through the defined exit area. An indication of the wait time is output.