Abstract: A cover assembly including a first and second covers, a latch, an elastic unit, and fasteners is provided. The first cover has inner and outer surfaces, wherein first limiting elements, a hook, and a rail are formed on the inner surface, and keyholes are formed through the inner and outer surfaces. The second cover fixed on the first cover with the inner surface facing the second cover has a stud and second limiting elements overlapping the first limiting elements. The elastic unit connected between the latch disposed in the rail and having third limiting elements and the hook applies a restoring force to the latch. The fasteners pass through the keyholes into the stud. The latch is constrained by the fasteners to drive the third limiting elements to pass through the overlapping portions of the first and second limiting elements, and thereby the first and second covers are fixed together.

Abstract: A search device and associated methods use music emotions to browse, organize and retrieve music collections. The search device comprises a processor and an interface. The processor uses machine learning techniques to determine music emotion according to music features and organizes music by emotions for browsing and retrieving music collections. The interface connects to the processor and allows a person to retrieve desired music from the processor. Methods associated with the search device comprise a processor initialization method, a method of loading new music into the search device and several methods of retrieving desired music from the search device.

Abstract: A digital data processing method for information retrieval and an information retrieval system thereof are provided. In an embodiment, the information retrieval system trains a personalized model according to a user's feedback perceptions of at least one information piece. With respect to information pieces and different users, the information retrieval system performs estimation, based on two different stages with a generalized model and the trained personalized model.

Abstract: A digital data processing method for information retrieval and an information retrieval system thereof are provided. In an embodiment, the information retrieval system trains a personalized model according to a user's feedback perceptions of at least one information piece. With respect to information pieces and different users, the information retrieval system performs estimation, based on two different stages with a generalized model and the trained personalized model.

Abstract: A search device and associated methods use music emotions to browse, organize and retrieve music collections. The search device comprises a processor and an interface. The processor uses machine learning techniques to determine music emotion according to music features and organizes music by emotions for browsing and retrieving music collections. The interface connects to the processor and allows a person to retrieve desired music from the processor. Methods associated with the search device comprise a processor initialization method, a method of loading new music into the search device and several methods of retrieving desired music from the search device.