Abstract: A method of presenting personalized additional information along with displayed content includes accessing a content viewing history and a user profile. Detecting an event by extracting metadata related to content provided for display, the content provided for display related to other content not contained within the content viewing history, and accessing additional information related to the detected event. Additional features include overlaying an object onto the content being displayed on the content display device, and displaying background image information the surrounds the content display device in the view of the AR user. Any or all of the features may be present simultaneously.

Abstract: A system, method and graphic user interface for facilitating content discovery. The system and method including the selection (1402) of a number of display regions based on a display type, and the selection (1404) of item categories to be displayed in the display regions in accordance with a content discover process. The content discovery process is a greedy process that includes a multi-way search process (700) that tracks a user's item category selections and removes non-selected item categories displayed in the displayed regions from future display in the display regions during the content discovery process, and an item category selection process (900) that selects at least one item category that has not been displayed in the display regions and was not previously non-selected during the multi-way search process (700).

Abstract: Various features described herein may be embodied in various apparatuses. An apparatus may recommend content to a viewer. The apparatus may receive a selection from the viewer of a condition to associate with the content. The condition may be included in a list of conditions displayed for the viewer. The condition may be a period of time selected by the viewer. The condition may be a weather condition selected by the viewer. The context condition may a location selected by the viewer. When the condition does not exist, the apparatus may refrain from providing the content as a recommendation for the viewer. Afterwards, the apparatus may add the content to a queue associated with the content. When the condition does exist, the apparatus may provide the content as a recommendation for the viewer. Various methods and computer-readable medium may also provide various embodiments of such features.

Abstract: The present principles generally relate to augmented reality (AR) apparatuses and methods, and in particular, to an exemplary augmented reality system (100) in which content characteristics are used to affect the individual viewing experience of the content. One exemplary embodiment involves a user specified modification of the content by using an augmented reality device (125-1) to provide a preview for a parent or a guardian of a viewer, or a third-party curator of contents a time period before a potentially objectionable scene is to be shown to other viewers. A modified content (705, 1005) may be created by replacing or obscuring the objectionable content or scenes of the one or more of the original contents. The apparatus and method is employed in a system having one or more augmented reality devices (125-1-125-n) such as e.g., one or more pairs of AR glasses. The system may also include a non-AR display screen (191, 192) to display the content to one or more viewers.

Abstract: The present principles generally relate to augmented reality (AR) apparatuses and methods, and in particular, to an exemplary augmented reality system (100) in which content characteristics are used to affect the individual viewing experience of the content. One exemplary embodiment involves a user specified modification of the content by using an augmented reality device to provide a preview (600) for a parent or a guardian of a viewer, or a third-party curator of contents. A modified content (705, 05) may be created by replacing or obscuring the objectionable content or scenes of the one or more of the original contents. The apparatus and method is employed in a system having one or more augmented reality devices (125-1-125-n) such as e.g., one or more pairs of AR glasses. The system may also include a non-AR display screen (191, 192) to display the content to one or more viewers. Accordingly, different forms of the same content may be presented on the different AR glasses and also on the shared screen.

Abstract: A method of presenting personalized additional information along with displayed content includes accessing a content viewing history and a user profile. Detecting an event by extracting metadata related to content provided for display, the content provided for display related to other content not contained within the content viewing history, and accessing additional information related to the detected event. Additional features include overlaying an object onto the content being displayed on the content display device, and displaying background image information the surrounds the content display device in the view of the AR user. Any or all of the features may be present simultaneously.

Abstract: A privacy auditor determines discrepancies between user privacy settings in a social network and installed applications. The privacy auditor can employ a privacy determinator that tests an installed application on various privacy levels to determine actual privacy settings of the installed application. The privacy auditor then uses a privacy comparator to derive differences between the actual privacy settings of the installed application and the user privacy settings from the social network.

Abstract: A system uses physical proximity and at least one existing database, e.g., a social network, to provide a group recommendation, such as a movie recommendation, to a group of users without any user interaction. Physical proximity is enabled by devices supporting detection of a beacon from a beacon broadcasting device. Each device separately communicates with the server, which forms the group and which provides a group recommendation based upon information for the group.

Abstract: A method and system of recommending content and targeting advertisements for one or more users is provided. The system includes an aggregator that is connected to the one or more users and collects rich user data therefrom. The method includes collecting rich user data from one or more users; building one or more user profiles corresponding to the one or more users; storing the one or more user profiles in a memory database; requesting one or more content profiles from one or more providers; receiving the one or more content profiles; determining whether one of the user profiles is a target user profile for one of the content profiles based on the rich user data associated with the target user profile; and delivering content programs associated with the content profiles to the target user.

Abstract: A methodology to protect private data when a user wishes to publicly release some data about himself, which is can be correlated with his private data. Specifically, the method and apparatus teach comparing public data with survey data having public data and associated private data. A joint probability distribution is performed to predict a private data wherein said prediction has a certain probability. At least one of said public data is altered or deleted in response to said probability exceeding a predetermined threshold.

Abstract: A methodology to protect private data when a user wishes to publicly release some data about himself, which is correlated with his private data. Specifically, the method and apparatus teach combining a plurality of public data into a plurality of data clusters in response to the combined public data having similar attributes. The generated clusters are then processed to predict a private data wherein said prediction has a certain probability. At least one of said public data is altered or deleted in response to said probability exceeding a predetermined threshold.

Abstract: A system, method and graphic user interface for facilitating content discovery. The system and method including the selection (1402) of a number of display regions based on a display type, and the selection (1404) of item categories to be displayed in the display regions in accordance with a content discover process. The content discovery process is a greedy process that includes a multi-way search process (700) that tracks a user's item category selections and removes non-selected item categories displayed in the displayed regions from future display in the display regions during the content discovery process, and an item category selection process (900) that selects at least one item category that has not been displayed in the display regions and was not previously non-selected during the multi-way search process (700).

Abstract: A privacy auditor determines discrepancies between user privacy settings in a social network and installed applications. The privacy auditor can employ a privacy determinator that tests an installed application on various privacy levels to determine actual privacy settings of the installed application. The privacy auditor then uses a privacy comparator to derive differences between the actual privacy settings of the installed application and the user privacy settings from the social network.

Abstract: A system and method and graphic user interface for providing media recommendations. The system and method including enabling a user to select a first media object or a second media object from a plurality of accessible media objects, the first media object having a first set of characteristics and the second media object having a second set of characteristics, determining if a user selects the first media object, selects the second media object, or requests access to two different media objects, adjusting weight values associated with the plurality of media objects based on the user's selection, and recommending media objects to the user based on the adjusted weight values.

Abstract: A method for providing data indicative of user engagement with content commences by first collecting data measuring user engagement with the content. The data is then aggregated in accordance with user-designated privacy constraints. Thereafter, a content profile is created for the user in accordance with the aggregated user engagement data.

Abstract: A system, apparatus and method for performing social media analytics for a movie are provided. The present disclosure provides for a social media analytics platform that builds a rich landscape of interests of movie audiences by mining data from social networking or microblogging services, such as Twitter™. The present disclosure provides for associating at least one user with a movie; collecting, for the at least one associated user, at least one of user location data, user interest data, user-cited website data, and user television viewing habits data from a social networking or microblogging service; processing the collected data to generate movie campaign data, the movie campaign data including at least one of movie marketing data, movie advertising data, and movie distribution data; and providing the at least one movie marketing data, movie advertising data, and movie distribution data for display in a user interface.

Abstract: Proper representation of the meaning of texts is crucial to enhancing many data mining and information retrieval tasks, including clustering, computing semantic relatedness between texts, and searching. Representing of texts in the concept-space derived from Wikipedia has received growing attention recently, due to its comprehensiveness and expertise. This concept-based representation is capable of extracting semantic relatedness between texts that cannot be deduced with the bag of words model. A key obstacle, however, for using Wikipedia as a semantic interpreter is that the sheer size of the concepts derived from Wikipedia makes it hard to efficiently map texts into concept-space. An efficient algorithm is proved which is able to represent the meaning of a text by using the concepts that best match it. In particular, this approach first computes the approximate top- concepts that are most relevant to the given text. These concepts are then leverage to represent the meaning of the given text.