An electronic device and a control method thereof includes an infrared module which receives an infrared control signal having a predetermined section-specific waveform from an infrared transmitter, a switching unit which turns on/off the infrared module, and a controller which controls the switching unit to alternately turn on and off the infrared module in a predetermined cycle for recognizing the predetermined section-specific waveform of the infrared control signal. Thus, electric power consumed by an infrared module in a standby mode may be reduced while receiving a signal of an infrared transmitter.

Electronic device and control method thereof

An image display apparatus (100) including a display unit, and a method for operating it, the method comprising:receiving, by the image display apparatus, login information of a first user account associated with a first portable terminal (300), while a content (910) for viewing is currently being displayed on the display unit; logging-in the first user account to the image display apparatus, in response to the received login information of the first user account;generating, by the image display apparatus, a first additional content (920; 921; 922; 923) based on the first user account; and transmitting, by the image display apparatus, the currently displayed content and the first additional content to the first portable terminal for displaying on the first portable terminal. The method may further include receiving a login input for a second user account corresponding to a second portable terminal, logging in to the second user account, and switching the screen displayed on the display to a common screen based on the first and second user accounts.

Image display apparatus, portable terminal, and methods for operating the same

A personalized content delivery computer system is provided comprising: (a) one or more server computers; (b) a server computer program which when executed provides: a content interest profile builder; and a content matching utility; wherein the content interest profile builder and content matching utility are linked so as to enable users of the platform interested in targeting ("targeting users") one or more other users ("consumer" or "consumers"), using content that is likely to be of interest to the consumer; wherein the content interest profile builder intelligently harvests interest parameters for consumers, and stores the interest parameters iteratively into a content interest profile maintained for each consumer; and wherein the content matching utility determines whether content is likely to be of significant interest to a consumer, using the content interest profile for the consumer. A related method is also provided.

System and method for finding and prioritizing content based on user specific interest profiles

Technologies for natural language request processing include a computing device having a semantic compiler to generate a semantic model based on a corpus of sample requests. The semantic compiler may generate the semantic model by extracting contextual semantic features or processing ontologies. The computing device generates a semantic representation of a natural language request by generating a lattice of candidate alternative representations, assigning a composite weight to each candidate, and finding the best route through the lattice. The composite weight may include semantic weights, phonetic weights, and/or linguistic weights. The semantic representation identifies a user intent and slots associated with the natural language request. The computing device may perform one or more dialog interactions based on the semantic request, including generating a request for additional information or suggesting additional user intents. The computing device may support automated analysis and tuning to improve request processing. Other embodiments are described and claimed.

Self-learning statistical natural language processing for automatic production of virtual personal assistants

Systems and methods are provided for streaming content over the Internet via a CDN to an end user system. Requests from end user systems for streaming content objects being handled by the CDN are tracked to identify, for each request the tracked requests, a first content object being requested. For each request of the tracked requests, a category of the requested first content object is identified. The identified category is stored. Aggregated data indicating an amount of requests being for content objects with a specific category is generated. A prediction is made that a second content object will be requested in the future based on the aggregated data and a category of the second content object. Access to the second content object is improved such that the second content object is set to be provided faster in response to a request for the second content object than would otherwise occur.

Selective content pre-warming in content delivery networks based on user actions and content categorizations

Disclosed embodiment providing for the capture of video content. The video content is segmented in real-time into clips by topic, and those clips are delivered as customized queues of video items relevant to the consumer according to their interests as aggregated from their social graph data and manual entry.

System and method for real-time processing, storage, indexing, and delivery of segmented video

Self-learning systems process incoming data from sources such broadcast, cable, or IP-driven television and can discover topics that broadly describe the incoming data in real-time. These topics can be used to gather and store metadata from various metadata sources such as social networks. Using the metadata, content delivery systems working in parallel with the self-learning systems can deliver highly contextualized supplementary content to client applications, such as mobile devices used as “second screen” devices.

Self-learning methods, entity relations, remote control, and other features for real-time processing, storage, indexing, and delivery of segmented video

Eoin G. Dowling

Papers

System and method for real-time processing, storage, indexing, and delivery of segmented video

Self-learning methods, entity relations, remote control, and other features for real-time processing, storage, indexing, and delivery of segmented video

Processing and delivery of segmented video