Aspects of the subject disclosure may include, for example, analyzing data associated with a plurality of network domains, identifying, based on the analyzing of the data, a first action to be taken in a first network domain of the plurality of network domains, identifying, based on the analyzing of the data, a second action to be taken in a second network domain of the plurality of network domains, issuing a first directive to the first network domain to cause a first communication device in the first network domain to take the first action, and issuing a second directive to the second network domain to cause a second communication device in the second network domain to take the second action. Other embodiments are disclosed.

A system for delivering targeted content to a wireless handset is described. The system comprises a beacon and a wireless handset communicatively coupled to a network. The wireless handset receives a signal from the beacon. A user profile associated with the wireless handset comprises at least one user attribute. The system further comprises a content administration interface configured to store an association between a content item and a user attribute. The system further comprises a content delivery module configured to filter stored content items to retrieve content items associated with a user attribute. The content delivery module transmits at least one retrieved content item to the wireless handset via the network. A handset content interface displays the at least one transmitted content item on the wireless handset.

This invention is directed to a system and method of the virtual creation and subsequent, automated or semiautomated, development or construction of popup retail storefronts, popup events, mobile popup shops, food trucks, popup storefront modular high rise smart buildings, or popup retail franchises, which include the machine learning interoperation or integration of various virtual marketplace environments, blockchain & block-lattice architectures, interactive data engineering geographic information systems, and interactive data visualization devices. Embodiments of this present invention may include an interoperative or integrated real property search mechanism, a virtual design environment, social graph networking graph learning generated frameworks for retailers by which a joint-usership experience or popup event co-sponsorship may be facilitated in the creation and launch of one or more popup shops or popup events at one or more remote locations, a commercial shelf space or commercial space marketplace environment or auction place environment, and other integrated user interfaces.

A system, method, and device for tracking, utilization of one or more tokens. One or more tokens associated with a product or service and a user are created. The tokens are communicated based on a request from the user. Utilization of the one or more tokens is tracked for purchases of the product or services associated with the one or more tokens. The user is compensated for purchases of the products or services associated with the one or more tokens.

Disclosed herein is a method that allows sellers of products to enroll an individual product in a multi-level marketing (MLM) system. A first user may provide criteria that is used to identify sets of advertisement data that match the filter criteria and filtered advertisement data may be sent to a user device such that the user can generate or update marketing materials for selling the product when attempting to increase sales of the product. By providing sets of filter data and evaluating advertisements that have proven successful, a user may generate advertisements that are more effective. Advertisements and codes that are associated with this first user may be sent to other users who may purchase the product at a discount by using the code after which commissions may be provide to the first user based on use of the code. Users that purchase the product may the sell that product.

An information communication system acquires first user information indicating a first user and second user information indicating a second user based on transmission of a message from a first terminal device used by the first user to a second terminal device used by the second user. The information communication system transmits, to the first terminal device, a first advertisement corresponding to an attribute of the first user indicated by the acquired first user information. The information communication system transmits, to the second terminal device, a second advertisement corresponding to an attribute of the second user indicated by the acquired second user information.

Aspects of the subject disclosure may include, for example, receiving, from a first client device, a recommendation pertaining to an advertisement, storing a sender identification in association with an identification of the advertisement, wherein the sender identification includes an identification of the first client device, an identification of a first user of the first client device, or a combination thereof, determining that a score associated with the recommendation exceeds a threshold at least in terms of a likelihood of relevance of the advertisement to a second user of a second client device, based on the determining, transmitting the advertisement to the second client device based on the identification of the advertisement, and based on the determining, transmitting the sender identification to the second client device. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, determining classes from a corpus based on topic modeling, data clustering and unsupervised learning. Labels are determined for each of the classes and trained models are generated for each of the classes by assignment of a plurality of textual documents to labels based on a highest number of matches. A raw textual document can be tokenized and stop words removed. A corresponding one of the trained models can be selected according to a class that is applicable to subject matter of the raw textual document. The processed document can be assigned to a target label based on a highest number of matches of words. Other embodiments are disclosed.

A system and method for alerting an individual viewing a video advertisement that the advertised product may be incompatible with the viewer's health profile. This incompatibility may be a consequence of a specific allergy, sensitivity or other interaction or reaction that the advertised product may cause. The system and method utilize previously stored viewer health profiles. These profiles may be associated with a wearable health monitor, or can be entered by a viewer specifically to support the operation of the disclosed system. Viewers may be identified through the detection of a wearable health monitor, or via facial recognition.

A computer-implemented method is disclosed for training neural networks of a group recommender to provide item recommendations for ephemeral groups having group interaction sparsity. A preference encoder and aggregator generate user and group preference embeddings from user-item interactions, wherein the preference embeddings form a latent user-group latent embedding space. The neural preference encoder and the aggregator are trained by regularizing the latent user-group embedding space to overcome the group interaction sparsity by: i) maximizing user-group mutual information (MI) between the group embeddings and the user embeddings so that the group embeddings encode shared group member preferences, while regularizing the user embeddings to capture user social associations, and ii) contextually identifying informative group members and regularizing the corresponding group embeddings using a contextually weighted user loss value to contextually weight users' personal preferences in proportion to their user-group MI to reflect personal preferences of the identified informative group members.