Research on Recommendation Method over Always-on Connected broadband Networks.
| Project/Area Number |
16500075
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | University of TSUKUBA |
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Principal Investigator |
TSUDA Kazuhiko University of TSUKUBA, Graduate School of Business Sciences, Professor, 大学院・ビジネス科学研究科, 教授 (50302378)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAHASHI Masakazu University of SHIMANE, Interdisciplinary Faculty of Science and Engineering, Associate Professor, 総合理工学部, 助教授 (20403446)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2005: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 2004: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | broadband / Marketing / Recommendation / Contents / P2P |
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| Research Abstract |
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 Administator
Provide 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 providers
2)The analysts' reports for the stock investment
3)The site information for the local governments
The 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.
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Report
(3 results)
Research Products
(20 results)
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[Book] コンピュータアルゴリズム2006
Author(s)
津田和彦, 望月久稔, 泓田雅弘
Total Pages
166
Publisher
共立出版
Description
「研究成果報告書概要(和文)」より
Related Report
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