A method in which user information is transmitted from at least one data source to a processing unit of a learning device. The user information is used, by the processing unit via a machine learner, to generate at least one user model. The at least one user model is adapted via an adaptation of parameters used by the at least one machine learner to generating the at least one user model. The parameters, used by the at least one machine learner for generating the at least one user model, are adapted as a function of at least one predefined rule. The user model generated on the basis of the adapted parameters is used to personalize at least one terminal.

A method in which user information is transmitted from at least one data source to a processing unit of a learning device. The user information is used, by the processing unit via a machine learner, to generate at least one user model. The at least one user model is adapted via an adaptation of parameters used by the at least one machine learner to generating the at least one user model. The parameters, used by the at least one machine learner for generating the at least one user model, are adapted as a function of at least one predefined rule. The user model generated on the basis of the adapted parameters is used to personalize at least one terminal.

Method, system, and media for improving a fan experience for an event at a venue with a live audience. Broadly speaking, embodiments of the invention provide techniques for systematizing fan interactions based on automatically detected fan groupings and criteria triggering activation events. Fans are classified into audience groupings based on collected data associated with each fan. Fan interactions map activation criteria (such as activities performed by the fan or purchases made by the fan, information about the event, or the ambient conditions) to activation events that can collect additional data about the fan, incentivize the fan to make a purchase, or improve the fan experience in some other way.

Systems, methods and techniques for automatically recognizing two-dimensional real world objects with an augmented reality display device, and augmenting or enhancing the display of such real world objects by superimposing virtual images such as a still or video advertisement, a story or other virtual image presentation. In non-limiting embodiments, the real world object includes visible features including visible security features and a recognition process takes the visible security features into account when recognizing the object and/or displaying superimposed virtual images.

Systems, methods and techniques for automatically recognizing two-dimensional real world objects with an augmented reality display device, and augmenting or enhancing the display of such real world objects by superimposing virtual images such as a still or video advertisement, a story or other virtual image presentation. In non-limiting embodiments, the real world object includes visible features including visible security features and a recognition process takes the visible security features into account when recognizing the object and/or displaying superimposed virtual images.

The present disclosure provides systems and methods for electronically providing each of a plurality of content distributors with access to a library of content items, facilitating the selection of a combination of the content items, creating a unique set of links for each recipient-distributor combination, and distributing the selected content and unique links via one or more distribution channels to a plurality of recipients. As each link is associated with both a recipient and a distributor, conversion actions stemming from the selection of a link by a recipient are attributed to the proper distributor. Distributors can create content distribution approaches that can be shared with other distributors.

Methods and systems for automatically providing dynamic content for facilitating a transaction are described herein. An online marketplace is accessed by a client device over a network. A user identifier associated with the client device is passed to a payment service provider via a merchant system associated with the online market place. Dynamic content is generated by the payment service provider in response to the user identifier and subsequently served to the client device over the network.

Aspects of the subject disclosure may include, for example, observing a plurality of objects viewed through a smart lens, wherein the plurality of objects are in a frame of an image viewed by the smart lens, determining an identification for an object of the plurality of objects, assigning tag information for the object based on the identification, storing the tag information for the object and the frame in which the object was observed, receiving a recall request for the object, retrieving the tag information for the object and the frame responsive to the receiving the recall request, and displaying the tag information and the frame. Other embodiments are disclosed.

Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.