Abstract: The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.

Abstract: A voice service system which includes a database storing information and is connected with a plurality of terminals by a communication network, comprising a call connection unit for transmitting-receiving a signal, on a voice service to/from each of the terminals, a voice processing unit for interpreting a voice instruction received from the terminal and converting an internally-created voice service document into a voice message, a recognition management unit for extracting a grammar, which is expected to be spoken by a user, from the database, a document management unit for creating the voice service document including the extracted grammar as a voice anchor, and a control unit for controlling information related to the voice anchor matching with the voice instruction to be provided.

Abstract: A user-concerned information recommendation system and method considering user's watching or listening time and the maximum playing time of contents are disclosed. The user-concerned information provision system includes a plurality of user terminals to provide contents transmitted from an external server to a user, a user-concerned information inference server to infer an association relationship between the contents based on information of maximum playing time and actual playing time of the contents provided to the user terminals, and a content provision server to provide a content requested by an arbitrary one of the user terminals and other contents associated with the requested content according to the inferred association relationship to the arbitrary one of the user terminals when receiving a request of the content from the arbitrary one of the user terminals, thereby providing more accurate user-concerned information to the user.

Abstract: The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.

Abstract: A user-concerned information recommendation system and method considering user's watching or listening time and the maximum playing time of contents are disclosed. The user-concerned information provision system includes a plurality of user terminals to provide contents transmitted from an external server to a user, a user-concerned information inference server to infer an association relationship between the contents based on information of maximum playing time and actual playing time of the contents provided to the user terminals, and a content provision server to provide a content requested by an arbitrary one of the user terminals and other contents associated with the requested content according to the inferred association relationship to the arbitrary one of the user terminals when receiving a request of the content from the arbitrary one of the user terminals, thereby providing more accurate user-concerned information to the user.

Abstract: A voice service system which includes a database storing information and is connected with a plurality of terminals by a communication network, comprising a call connection unit for transmitting-receiving a signal, on a voice service to/from each of the terminals, a voice processing unit for interpreting a voice instruction received from the terminal and converting an internally-created voice service document into a voice message, a recognition management unit for extracting a grammar, which is expected to be spoken by a user, from the database, a document management unit for creating the voice service document including the extracted grammar as a voice anchor, and a control unit for controlling information related to the voice anchor matching with the voice instruction to be provided.