Provided is a method for advertising a product on the basis of a social network service activity of a user comprises posting, by an operation server, information on a product online for a predetermined time period; receiving an experience application for the product, through a user device of each user, from at least one user who has registered in the operation server with SNS interworking information for interworking with at least one SNS server; selecting at least one person to experience the product who will promote the product from among the users who have applied for the experience according to a predetermined condition when the predetermined time elapses; and providing the product to the person to experience the product and requesting the user device to share the review information related to the product with another user in an SNS server registered by the person to experience the product.

In some embodiments, apparatuses and methods are provided herein useful to collecting and processing image data relating to retail deliveries. In some embodiments, there is provided a system for capturing images of merchandise delivery containers, the system comprising: at least one unmanned aerial vehicle (UAV) having an optical sensor for capturing image sequences; a memory device for storing the captured image sequences; an image database including images of at least one of text, symbols, logos, graphic designs, and pictures from known merchandise delivery containers; and a control circuit configured to: receive the captured image sequences; compare the image sequences with the images from the image database; determine individual images in the image sequences that match the images from the image database to identify merchandise delivery containers; and determine, based on the image sequences, address information corresponding to the geographical locations of the identified merchandise delivery containers.

Disclosed is an advertising platform device for determining a priority by using a preference of a user within a new receiver group selected to receive a new advertisement with respect to an existing advertisement having a high similarity with the new advertisement and providing the new advertisement according to the determined priority.

Systems, methods, and non-transitory computer-readable media can receive user social network information, including user location information, for a plurality of users. The plurality of users is filtered based on user social network information. A business action is determined based on the user social network information.

A method and apparatus for managing a personalization database. The computer system selects a number of segments of profile information about a user from a plurality of segments of the profile information about the user located in a human resources database. A record for the user in the personalization database is identified by the computer system, wherein an anonymized identifier for the user is used to locate the record. The number of segments selected is placed, by the computer system, into the record for the user in the personalization database, wherein a profile manager for the personalization database handles requests for information about users.

An apparatus for determining occupancy of a facility is provided. The apparatus includes a facility model processor and a global model module. The facility model processor is configured to generate occupancy components for the facility by processing a first data set comprising energy consumption and outside temperature data for the facility, the energy consumption and outside temperature data taken at a prescribed time increment over a first plurality of days, and is configured to generate a normalized first data set by employing the occupancy components to remove effects of occupancy of the facility from the first data set. The occupancy components include: a lower bound of energy consumption as a function of outside temperature; a normalized occupancy profile component as a function of the prescribed time increment; a marginal energy consumption component as a function of outside temperature; and a daily occupancy level component for each of the first plurality of days. The global model module is configured to receive the normalized first data set and a forecasted data set, the forecasted data set being generated by the facility model processor from the occupancy components and forecasted outside temperature data taken at the prescribed time increment over a second plurality of days, and is configured to generate and display comparisons of the forecasted data set with the normalized first data set over the second plurality of days.

Systems, methods, and non-transitory computer-readable media can identify a set of users of a transportation system. A set of user social network profiles on a social networking system associated with the set of users is determined, each of the user social network profiles associated with user social network information. User location information is recorded for the set of users. The transportation system is revised based on the user location information.

Embodiments of the present invention provide systems and methods for customer segmentation. Customers can use mobile devices to interact with e-commerce retailers via Internet connections, in order to shop for products and services. E-commerce retailers aim to provide a more personalized shopping experience. Based on voice interactions with a customer, e-commerce retailers may apply embodiments of the present invention to store voice segments of a customer; assign voice segments to the customer; analyze the customer's spending behaviors; assign a customer segment to the customer based on the customer's spending behaviors; and generate offers to the customer based on the customer segment.

Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.