A system for generating passive and anonymous feedback of multimedia content viewed by users is disclosed. The multimedia content may include recorded video content, video-on-demand content, television content, television programs, advertisements, commercials, music, movies, video clips, and other on-demand media content. One or more of the users in a field of view of a capture device connected to the computing device are identified. An engagement level of the users to multimedia content being viewed by the users is determined by tracking movements, gestures, postures and facial expressions performed by the users. A report of the response to viewed multimedia content is generated based on the movements, gestures, postures and facial expressions performed by the users. The report is provided to rating agencies, content providers and advertisers. In one embodiment, preview content and personalized content related to the viewed multimedia content is received from the content providers and advertisers based on the report. The preview content and personalized content are displayed to the users.

Automatic passive and anonymous feedback system

A method for generating tailored content for a user based on analyzing images of a scene is provided. Images from a scene captured by a capture device of a target recognition and analysis system are received. The images are analyzed to detect one or more brand identifiers in the images. In an embodiment, the brand identifiers include symbols or words identifying a brand, product or service associated with the brand identifier. The detected brand identifiers are compared to one or more known brand identifiers and user preference information is assigned to the detected brand identifiers based on the comparison. Tailored content is generated for the user based on the user preference information. The tailored content is rendered on a display device to the user.

Generating Tailored Content Based On Scene Image Detection

An entity establishes a non-negotiable credit account for a member of the loyalty program. The member of the loyalty program is provided with a payment artifact. Non-negotiable credits are added to the account in response to the payment artifact being used for purchases of goods or services. Quantities of the non-negotiable credits are redeemable for member selected goods or services per terms-of-use of the loyalty program. A subset of the non-negotiable credits are convertible to entity independent funds of a different loyalty program of a commerce partner. The entity independent funds are redeemable for commerce partner goods or commerce partner services of the different loyalty program.

Rewards program with payment artifact permitting conversion/transfer of non-negotiable credits to entity independent funds

A system includes a television set for displaying a video for a viewer. The television set connects to a persona television system over a data network and sends a request for a television show for a persona to the persona television system. A “persona” includes a character representation of a person other than the viewer, an event, or a group. The persona television system selects a television show based on the persona. The persona television system sends to the television set a show description of the television show. The show description includes video source information about video source such that the television set can obtain television show from video source. In this manner, a data network video is automatically selected as a television show based on a persona and provided to the television set, increasing the ease with which the viewer can identify video choices of interest.

Method and system to automatically select data network videos as television shows based on a persona

Photos taken by a user over a period of time are accessed to obtain a location history and visual features of the photos. A user profile is generated from the location history and the visual features. Recommendations are provided to the user based on at least one of the location history and the user profile.

Photo based user recommendations

There is provided a system and method for providing personalized dynamic online content based on photographic data. There is provided a method comprising receiving photographic data of a user, determining user preferences by analyzing the photographic data, generating personalized dynamic online content using the user preferences and a profile associated with the user, and providing the personalized dynamic online content for output on a display of the user. In particular, the photographic data may be analyzed to identify creative properties, such as favored brands and characters. Through the immediate user preference feedback provided by the photographic content, a higher degree of optimal targeted content can be provided to the user without requiring conventional burdensome procedures such as manually completed user surveys or lengthy periods of behavioral monitoring.

System and method for personalized dynamic web content based on photographic data

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System and method for personalized dynamic web content based on photographic data