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- W2014117816 abstract "Recently, much effort has been made for efficiency of user interface since the assumption of expertise or well-trained users is nor more valid these days. Today's users of computer systems are expanded to ordinary people. Furthermore, too much network accessible information resources in the form of various media increases rapidly everyday. The primary goal of the intelligent multimedia repository (IMR) is to assist users in accessing multimedia information efficiently. Primary users of the IMR are assumed to be novice users even though the system can be used for users at different levels of expertise. Users are not well-trained people in using computer system. Thus, the semantic gap between users and the system must be mainly reduced form the system site. The technology of intelligent user interface is adopted to minimize the semantic gap. For the intelligent user interface of been designed and developed. Machine learning technologies have been employed to provide user adaptation/intelligent capability to the system. The IUI of the IMR consist user interface manager (UIM), and user model (UM). The UIM performs the function of managing intelligent user interface. The UM stores the behavioral knowledge of the user. The UM stores the history of query and response interactions to absorb communication errors due to semantic gaps between the user and the IMR. The UM is implemented by decision tree based case- based reasoning and back propagation neural networks. Experimental result show the IUI can improve the performance of the IMR.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2014117816 date "1997-10-06" @default.
- W2014117816 modified "2023-09-23" @default.
- W2014117816 title "<title>Intelligent user interface for intelligent multimedia repository</title>" @default.
- W2014117816 doi "https://doi.org/10.1117/12.290334" @default.
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