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USERS’ TWO-DIMENSIONAL INTEREST AND ITS STORAGE METHOD
引用本文:XuBaowen ZhangWeifeng. USERS’ TWO-DIMENSIONAL INTEREST AND ITS STORAGE METHOD[J]. 电子科学学刊(英文版), 2002, 19(4): 399-402. DOI: 10.1007/s11767-002-0072-5
作者姓名:XuBaowen ZhangWeifeng
作者单位:[1]DepartmentofComputerScienceandEngineering,SoutheastUniv,Nanjing210096 [2]StateKeyLaboratoryofSoftwareEngineering,WuhanUniversity,Wuhan430072
摘    要:The users‘ interest can be mined from the web cache and can be used widely.The interest can be specialized by the two-tuple(term,weight) in the simple interest model,in which the association relations are not mined.and then interest cannot be associated in expressing the users‘interest.Based on analyzing the WWW cache model,this letter brings forward a twodimensional interest model and gives the interrelated methods on how to store the two-dimensional interest model effectively.

关 键 词:万维网 互联网 数据采集 存储

Users’ two-dimensional interest and its storage method
Baowen Xu,Weifeng Zhang. Users’ two-dimensional interest and its storage method[J]. Journal of Electronics, 2002, 19(4): 399-402. DOI: 10.1007/s11767-002-0072-5
Authors:Baowen Xu  Weifeng Zhang
Affiliation:(1) Department of Computer Science and Engineering, Southeast Univ., 210096 Nanjing;(2) State Key Laboratory of Software Engineering, Wuhan University, 430072 Wuhan
Abstract:The users’ interest can be mined from the web cache and can be used widely. The interest can be specialized by the two-tuple (term, weight) in the simple interest model, in which the association relations are not mined, and then the interest cannot be associated in expressing the users’ interest. Based on analyzing the WWW cache model, this letter brings forward a two-dimensional interest model and gives the interrelated methods on how to store the two-dimensional interest model effectively. Supported in part by the National Natural Science Foundation of China (No.60073012), Natural Science Foundational of Jiangsu(BK2001004), Visiting Scholar Foundation of Key Lab. in University.
Keywords:WWW  Internet  Interest model  Data mining  Cache
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