Research on Recommendation Method over Always-on Connected broadband Networks.

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This research will focus on establishing the new recommending methods on the site. Our method is to analyze some information on the web contents. This technology enables us to understand the latest information of each user for the time-series activities. (i.e.the status for transmitting the web contents)The objectives for this research will be defined as follows ;For Contents Holder or Contents AdministatorProvide the correct information for the user preference promptly from the site traces.For login user, Provide the correct information for the user intention. Today, The Contents from the web site system are one of the main purposes to obtain any kind of the information. Therefore, we made some research based on the Natural Language Processing techniques as following issues ;1)The sites access histories for the internet service providers2)The analysts' reports for the stock investment3)The site information for the local governmentsThe results for the above research have reported and made a presentation at the international conference of "KES 2005" and International academic journal of "IJCSNS" It is one of the key technologies for the recommending system to gather any kind of information on the site promptly ; therefore, we made some research for the prompt digital document file share technologies and reported at FIT 2005. Moreover, we have to process the huge size of data immediately to estabilish the above technology, which made us to obtain some technologies for the computer algorithm.As the result, we published out a book concerned with computer algorithm titled "Computer Algorithm" from the Kyoritsu Shuppan publishing company in Tokyo. From the above research activities, we have reached diverse (or wide range of) results not only key technologies but the applied ones. We conclude with our vision for preceding the advanced research based on the above research activities for the future research activities.