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tory burch Word frequency statistics based on pers

 
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 PostWysłany: Pon 22:04, 06 Gru 2010    Temat postu: tory burch Word frequency statistics based on pers Back to top

Word frequency statistics based on personalized information filtering technology


Table entries in the document weight, weight of the dictionary entries in the user personal dictionary normalized weights. Table 1 was calculated by 100100Wk = 82, W × = 2.0863, L = 375; = l = lR:: 0.029456z. =------- ■ b =. . 375 × J956 separate a document's relevance does not matter the level of,[link widoczny dla zalogowanych], for,[link widoczny dla zalogowanych], here are a Taiwan-related articles for comparison. Document 2, Chinese Ambassador to Japan Chen Jian said here today that the Taiwan issue is related to the political foundation of Sino-Japanese relations in the history textbook issue has not been properly resolved the case of the recurrence of Lee Teng-hui to visit Japan as a serious political situation, will further hurt the feelings of the Chinese people and seriously damage Sino-Japanese relations. Lee Teng-hui's visit to Japan, Chen held a press conference today. He said the Japanese media in recent days to Lee Teng-hui's visit to Japan made a lot of reports, some media advocates, Lee Teng-hui a serious condition, the treatment need to Japan, Japan, it should be for \This report can only see the appearance of the problem, but not see ulterior motives behind the problem. Chen Jian pointed out that Lee Teng-hui is definitely not an \He is the \Lee Teng-hui is still using all available opportunities to engage in activities against China, this visit is also an attempt to link the purpose of seeking a breakthrough to expand the \political conspiracy. This can be a series of public actions,[link widoczny dla zalogowanych], the Taiwan authorities have recently been confirmed. Chen Jian, a large number of facts listed on the Lee Teng-hui sham, real politics, revealing the political intent. 2 to pick the word document, the results shown in Table 2. Table 2 documents of 2 results Table2Experimentalresultsofdocument2 vocabulary words weight weight weight Dictionary Dictionary weight Japan International 20.001729 60.024901 40.013834 Taiwan 40.05032120.001729 reported activities affecting 20 40.020405 20.001729 *** Ambassador .001729 20.001729 20.001729 resolve the damage 20.001729 20.001729 20.001729 damages action series 20.001729 20.001729 20.001729 hospitality has been calculated, correlation R = 0.004221. From Table 1 of personalized weight dictionary entries can be seen: Taiwan, the United States, China, military,[link widoczny dla zalogowanych], war and other personal dictionary the words in the user account for the relatively large weight, the document 1, the words are There appear, and approximate weight, so the correlation is high; and documentation and user 2 months l Health Dictionary entry the same keywords in the user personal dictionary the lower weights, so the correlation is also low based on the size of correlation , intelligent search engine referring users to document, to document a top surface of the document if the user is satisfied that allows intelligent search engine to learn the document,[link widoczny dla zalogowanych], allowing users to personalize the dictionary entry weight distribution more in line with 5 Conclusion Internet user information needs of intelligent information filtering is an important part of the search engine, this combination of intelligent search engine, the Chinese information filtering technology and its applications were made deeper study of the formation of an individual based on word frequency statistics information filtering method, which has the speed, higher accuracy, handling wet) document good effect, to meet the practical intelligence of the Internet search engine, information filtering, sorting requirements. References: [1] Zou Hai mountain. Chinese search engine Chinese information processing [J]. Application Research of Computers, 2000 (12) :21-24. [2] Huang Xuan Qing, Wu Lide. Vector space model based on the document classification system [J]. Pattern Recognition and Artificial Intelligence, 1998 (2) :147-153. [3] von Ao. OpenBookmark an Agent-based information filtering system [J]. Tsinghua University (Natural Science), 2001,41 (3) :85-88. [4] LAWRENCES. Contextinwebsearch 『J]. IEEEDataEngineeringBulletin, 2000,23 (3) :25-32. [Editor: Liu Yuming]

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