Abstract: The present invention relates to a multi-modality system for recommending multiple items using an interaction and a method of operating the same. The multi-modality system includes an interaction data preprocessing module that preprocesses an interaction data set and converts the preprocessed interaction data set into interaction training data; an item data preprocessing module that preprocesses item information data and converts the preprocessed item information data into item training data; and a learning module that includes a neural network model that is trained using the interaction training data and the item training data and outputs a result including a set of recommended items using a conversation context with a user as input.

Abstract: A motion simulator includes a stationary frame, a movable frame pivotally connected with the stationary frame, an operating chamber formed at a lower side of one end of the movable frame, a first actuator for pivoting the movable frame, and a second actuator arranged between the operating chamber and the movable frame, for rotating the operating chamber in forward and backward directions with respect to the movable frame.

Abstract: A motion simulator includes a stationary frame, a movable frame pivotally connected with the stationary frame, an operating chamber formed at a lower side of one end of the movable frame, a first actuator for pivoting the movable frame, and a second actuator arranged between the operating chamber and the movable frame, for rotating the operating chamber in forward and backward directions with respect to the movable frame.

Abstract: A motion simulator having a stationary frame and a movable frame below the stationary frame in the direction of gravity. A passenger car is attached to the bottom surface of the movable free. A driving device is located between the stationary frame and the movable frame and rotationally or linearly moves the movable frame.