A digital signage control device according to the present invention is a digital signage control apparatus for distributing information to be displayed on a digital signage via a network, which digital signage control apparatus includes a storage part configured to store advertisement contents of a store; a detection part configured to detect a vacant number of store facilities to be provided to a user; and a distribution part configured to distribute information corresponding to the vacant number of the store facilities to the digital signage, wherein the distribution part distributes the information on the number of vacant store facilities when the vacant number of the store facilities is larger than a predetermined remaining number, and advertisement content information of the store, in place of the information on the number of vacant store facilities, when the vacant number of the store facilities is smaller than the predetermined remaining number.

A financial institution computing system includes an account database with a plurality of transaction parameters with respect to a financial account of a customer, a receptiveness metrics circuit structured to extract the plurality of transaction parameters from the account database, the transaction parameters including at least one financial transaction record, and indicative of a mode of the customer, and determine one or more receptiveness metrics attributed to the customer based on the mode of the customer, the one or more receptiveness metrics indicating likelihoods of the customer converting an interaction from the financial institution, wherein the interaction includes an avatar that is an aged version of the customer, and an interaction generation circuit structured to transmit the interaction to the customer at an optimal time based on the one or more receptiveness metrics.

According to at least one embodiment, a method for providing secondary content, related to primary content, for targeted transmission, includes: receiving a set of user metadata for a plurality of users, the user metadata comprising one or more of user browsing history, purchase history, term usage history, social media posts and actions, or location information; based on the set of user metadata, identifying, via a machine learning model, a subset of the users having an affinity for purchasing digital home-entertainment content, wherein the affinity is above a threshold level; and providing an indication of the subset of users having the affinity above the threshold level.

In an advertisement information generation apparatus (30) of the present invention, the advertisement information generation unit (31) generates advertisement information on at least one of an advertising target product or an advertising target service, the coordinate information acquisition unit (32) acquires coordinate information associated with a fiducial marker installed in a specific area of a real space, a virtual point indicating a specific position in the specific area is mapped on the coordinate information, the virtual object generation unit (33) generates a virtual object associated with the virtual point and the advertisement information, the virtual object is composed of a main object and a sub object, the main object is an image object representing contents of the advertisement information, and the sub object is an object to which text information representing the contents of the advertisement information is added.

The present invention relates to methods and systems for targeting and retargeting individuals with advertisement spots during television broadcasting. The method and system enable an advertiser for identifying and categorizing a set of viewers or individuals for retargeting advertisement based on parameters such as, but not limited to, interests or preferences of the individuals, past purchases and interactions of the individuals with the advertiser. The method and system further enable the advertiser to segregate the plurality of individuals into subgroups on the basis of information such as, but not limited to, demography, psychographic and behavioral characteristics of the plurality of individuals. The method and system then enable the advertiser to define one or more advertisement spots and corresponding advertisements to be delivered to different sub groups of individuals based on the categorization. Thereafter, the method and system retarget individuals by sending individualized messages in the one or more advertisement spots.

Various embodiments of an apparatus, method(s), system(s) and a computer program product(s) described herein are directed to a Offer Engine. The Offer Engine extracts one or more features from data associated with a first user requesting access to a portion of content of a content corpus. The Offer Engine feeds at least one of the features of the first user into a decision tree. The decision tree has multiple levels, wherein at least one level comprises a plurality of leaves and each respective leaf implements at least one machine learning model. The Offer Engine determines whether to provide the first user with a subscription fee offer first option or a non-subscription fee offer second option based at least in part on output of the decision tree.

Embodiments disclosed herein provide systems and methods for the filtering, selection and presentation of vendors accounting for both user characteristics and vendor characteristics, such that the systems and methods may be used by both customer and vendor alike to better match customer needs with the resource-constrained vendors with whom a successful sale has a higher probability of occurring. Embodiments may include filtering, selecting and/or presenting vendors to a user sorted by the probability that the particular vendor will possess the characteristics that appeal to a particular customer and therefore result in a large probability of sale and suppress presentation of those vendors that are unlikely to be selected by the customer since their characteristics are less consistent with those needed by the customer and, therefore, are unlikely to result in a sale.

The disclosed tools include enhanced and flexible tools to enable users who may be business competitors to share non-generic data in a substantially generic and in a substantially equitable manner. The resulting incentive to more freely share data between competitors will benefit users such as brand owners and enhance content delivered to their end users based on shared data.

For targeted presentation of information on a mobile device, a presence of the device is detected at a given time at in a zone. A pause is detected in a movement of the device in the zone. A hangout pattern of the device is predicted. The hangout pattern includes an expected pause duration of the pause. Using the hangout pattern and the detected pause, a time is computed to present a content on the device. The content presented at the time is expected to have a higher than a threshold probability of receiving an input at the device. The content is selected according to the probability of receiving the input. The content is transmitted to the device such that the content is available for presenting at the device at the computed time.

A system for low-latency detection of known audio-video content in multiple audio-video streams, received over a transport multiplex wherein multiple advertisements of different durations are being transmitted over a network. The system includes an ingest module, repositories of content assets, repositories of advertisement assets, a playout server, and network streams. A Watermarking and Fingerprinting (WMFP) module receives multiple advertisements A having audio-video streams, from a Master AV Database, placing an audio watermark on the incoming streams and extracting a high-confidence fingerprint (signature) from each of the watermarked assets A. Communicating fingerprint signatures and replacement rules to one or more receivers over the Internet. One or more receivers at different locations actively replace detected advertisements having AV content, using a signature detector, with local content assets. The system provides a high confidence match without the disadvantage of an extended and expensive extraction time or false matches.