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22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14

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Abstract Research of a Web search support system based on individual sensitivity Yukinobu Morishita Recently, information and communication technology are spreading and the number Internet user increases more internet user get information on the Web. However, in the retrieval by keyword mainly used now, when the concrete keyword of information needed is not known, it is difficult to acquire information. Then, there is sensitivity search as the new search technique. This is the technique of retrieving the target information from the displayed keyword or a picture. However, in the present sensitivity search, in order to have to accumulate sensitivity information for every genre, it will take time and effort very much. In this paper, reduced a burden of the sensitivity information accumulation and suggested the sensitivity search support system which could acquire information universally and evaluated it. As a result, a burden of the user sensitivity information accumulation could be reduced. Moreover, the Web page which suits individual sensitivity out of the huge information on Web was able to be recommended. key words web search, sensitivity, sensitivity search, sensitivity information accumulation ii

1 1 1.1.................................. 1 1.2................................. 3 2 Web 4 2.1............................. 4 2.2..................... 5 3 6 3.1................................ 6 3.2................................ 8 3.3.............................. 8 4 10 4.1................................. 10 4.2............................. 10 4.3 Web......................... 11 4.4................................. 12 4.4.1................................ 12 4.4.2.......................... 12 4.4.3......................... 13 4.4.4........................... 14 4.4.5........................... 15 5 17 iii

5.1............................ 17 5.2.............................. 17 5.3.............................. 19 5.4...................................... 20 6 22 24 25 iv

1.1.......................... 2 3.1 1....................... 7 3.2 2....................... 8 4.1.................... 11 4.2.............................. 14 4.3......................... 14 4.4............................ 15 4.5............................ 16 v

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24

[1] 21 2010 [2] Web, 2010 [3] Vol.3 No4 2009 [4], 2 2008/3/6 [5] Zooom!Gourmet http://www.zooom.jp/ 2011/2/10 [6] ALBERT.jp http://mitsukaru.jp/ 2011/2/10 [7] Computer Today No.83 1998 [8] NetView 2008 [9] 48 2 311-326 2000 [10] DMR FEELING SEARCH http://dmr121r.kbmj.org/contents/flash.html 2011/2/10 [11] Laboo! http://laboo.221616.com/top/ 2011/2/10 25