Systems and methods are disclosed herein for distributing online ads based on an automatically detected social media trend. The systems and methods involve detecting a social media trend based on a spike in user engagement with social media distributed via the Internet. The spike is detected based on amount of social media postings or interactions relating to a topic occurring within a time frame. The systems and methods associate a keyword with the social media trend by automatically analyzing content of the social media relating to the topic during the time frame of the spike and identify content for online ads to be distributed based on the keyword associated with the spike.

The present invention provides a method for determining and organizing multimedia content of a network page, related to reactions of at least one user to at least one common content object or context. The method comprising the steps of: receiving plurality of comments originated by different users relating one or more common multimedia object, wherein the user is required to define characteristics of their comment from multiple choice of definition types, enabling users to react to said comment by selecting one type of reaction from multiple choice of reaction types, wherein the each reaction type define different characteristics of the comment, analyzing comment characteristics as defined by the originator user and/or by reaction type; and selecting and organizing of comments and/or content objects which are related to the comments and/or and the relevant reactions according to the said analysis.

Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

Methods and arrangements are provided to valuate advertising slots for a client device based on events that are detected on the device. The cost of the advertising slots can vary according to the timing of the user interactions or according to different classifications for the client device that are determined based on the events. The cost of the advertising slot can be determined before or after the invitational content is provided to the client device.

A computer-implemented method for smart appliance product segmentation and communication, including: generating, with at least one processor, a plurality of product interest codes; assigning, with at least one processor, at least one product interest code of the plurality of product interest codes to each of a plurality of products of at least one merchant; based at least partially on a profile of a smart appliance user, associating, with at least one processor, at least one product interest code of the plurality of product interest codes with an interaction between the smart appliance user and at least one smart appliance; matching, with at least one processor, that at least one product interest code of at least one product with the at least one product interest code associated with the interaction; and automatically generating and transmitting, with at least one processor, at least one communication to the smart appliance user.

The present invention relates generally to a system and method for sorting, ranking, and presenting and/or recommending multiple products for purchase having different labels in a coherent and structured way, and more specifically a system and method to generate marketing communications which display labels and/or wine labels based on an affinity system and ranking to help consumer and buyer select and purchase wine using either a digital interface or even in the course of normal retail buying process to select appropriate product.

Techniques described herein are directed to interactive elements displayed in multimedia content. In an example, it is determined that multimedia content displays an item offered for sale by a merchant. Based on so determining, an interactive element is rendered that displays a representation of the item offered for sale by the merchant in place of a portion of the multimedia content. When an interaction by a user with the interactive element is detected, a graphical user interface is displayed that is configured to allow the user to purchase the item.

A method of matching geographic information to a requester including matching users subscribed to a service with devices used by the users; receiving and storing geographic information corresponding to locations of the users; receiving content selectively authorized by the users to be shared, and matching the content with the geographic information corresponding to the locations of the users; receiving from a requester a request specific to a location indicated on an electronic map and identifying from the content selectively authorized by the users and based on matched geographic information that matches the location indicated on the electronic map, a subset of the content to provide to the requester in response to the request; and providing, over a communications network, the subset of the content to provide to the requester in response to the request and based on the geographic information that matches the location indicated on the electronic map.

Provided are systems and methods for face reenactment. An example method includes receiving visual data including a visible portion of a source face, determining, based on the visible portion of the source face, a first portion of source face parameters associated with a parametric face model, where the first portion corresponds to the visible portion, predicting, based partially on the visible portion of the source face, a second portion of the source face parameters, where the second portion corresponds to the rest of the source face, receiving a target video that includes a target face, determining, based on the target video, target face parameters associated with the parametric face model and corresponding to the target face, and synthesizing, using the parametric face model, based on the source face parameters and the target face parameters, an output face that includes the source face imitating a facial expression of the target face.

A content management and delivery system for providing targeted content to a user. The system includes a kiosk and sensors for determining whether a user is proximate or within the kiosk and for sensing a user's visually perceptible features.

A storage device stores general content, received primarily from local broadcasters. An experience recommendation engine (AI/ML based) recommends targeted content to a user. The targeted content is selected from the general content based on the emotional state of a current user, as that state is predicted based on the visually perceptible features, and based on a predicted future user behavior or a future user emotional state after exposure to the targeted content. A device at the kiosk presents the targeted content to the user.