Samsung Electronics Co., Ltd.

Jae-hwang Lee

Cheol-ju Hwang

Min-ho Lee

Sung-Hwan Choi

Pyung-soo Kim

Jeong-rok Jang

Yun-ju Choe

Jin-hyuck Hong

Soo-Hong Park

Yong-wook Kim

Do-Yeon Kim

Sang-wook Cho

Sun-woo Kim

Ji-won Park

Hak-goo Lee

Pureunsol Ku

Jung-hyun Oh

A display apparatus, a controlling method thereof and a controlling method of a display system are provided. The controlling method of a first display apparatus includes receiving setting information from an external storage medium in response to the first display apparatus being connected to the storage medium; and in response to the first display apparatus being set as a master device according to the setting information, transmitting reproduction time information of image contents to a second display apparatus, synchronizing the second display apparatus with the first display apparatus with respect to the image contents, and reproducing the synchronized image contents.

Display apparatus, controlling method thereof and controlling method of display system

A broadcast receiving apparatus is provided, which includes an interface unit connected to a server; a storage unit storing information on the broadcast receiving apparatus, a display unit displaying a UI (User Interface) for selecting the information on the broadcast receiving apparatus, and a control unit controlling the interface unit to transfer the information on the broadcast receiving apparatus selected through the UI to the server.

Broadcast receiving apparatus, server, method for controlling the broadcast receiving apparatus, and method for controlling the server

Provided are a method and an apparatus for predicting a preference rating for content, and a method and an apparatus for selecting sample content in order to predict a preference rating for the content. In the method of predicting a preference rating for the content, a list of users having similar preferences to a target user is extracted from content usage information collected with respect to the same content, and the target user's preference rating for the content is predicted by applying preference rating information of the users with similar preferences to a machine learning algorithm.

Method and apparatus for predicting preference rating for content, and method and apparatus for selecting sample content

A method of adaptively updating a first recommended user group list of a first user connected to a network, in which a predetermined number of second users are selected from the first recommend user group list that is a list of users having a high similarity to the first user in consuming contents. A predetermined number of third users having a high similarity to the first user is selected from second recommend user group lists respectively of the selected second users possess. The first recommend user group list is updated to include the selected third users. As the preference of a user changes, the recommend user group may be reconfigured with updated recommend users by reflecting a corresponding preference. Also, quality contents can be provided by recommending a user of a corresponding terminal with the contents preferred by other users in the updated recommend user group list.

Method and appartus for adaptively updating recommend user group

A method and apparatus for predicting content preferences of an active user with reference to content preferences of other users that are similar to those of the active user, the method including: measuring similarity ratios of the active user and other users using an overlapping ratio of use of content items commonly used between the active user and the respective other users; generating a recommender list for the active user based on the measured similarity ratios; and predicting a preference rating of the first user with respect to an unused content item based on a preference rating of an other user included in the recommender list with respect to the unused content item. Accordingly, the similarity ratio between the users can be accurately measured so that reliability of a preference rating prediction system can be increased.

Method and apparatus for predicting user preference

A handover method in a wireless local area network (WLAN) environment, a mobile node device that carries out a handover in a WLAN environment, and a beacon signal structure are provided. The handover method involves receiving a beacon signal containing access router identification information; and carrying out a handover based on the access router identification information contained in the beacon signal. The mobile node device includes a beacon signal reception unit for receiving a beacon signal containing access router identified information, a determination unit for comparing access router identification information from the beacon signal with that of a previous access router and a handover performing unit for carrying out a handover based on a result of the determination from the determination unit. The beacon signal structure, which is used for carrying out a handover in a WLAN environment, includes a reserved field into which access router identification information is inserted.

Handover method in WLAN and mobile node device performing handover in WLAN

A handover method and a handover device for a mobile node in a wireless LAN environment are provided. The handover method involves a) scanning beacon signals transmitted from neighboring access routers while a mobile node moves from place to place; b) predicting a new access router (NAR) based on the beacon scanning results; c) obtaining information on the predicted NAR before an L2 trigger of a link layer occurs; and d) carrying out binding update using the information on the predicted NAR when the L2 trigger of the link layer occurs.

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Seoul, South Korea

Jae-hwang Lee