After the appearance of the globalization process post of 1980＇s, world has becaming a big village, that had been brought many important outcomes related with cooperatives which are aimed to emit the capital to the b...After the appearance of the globalization process post of 1980＇s, world has becaming a big village, that had been brought many important outcomes related with cooperatives which are aimed to emit the capital to the base. These conditions have been forced the movement to adopt themselves to this process vitally. As of year 2007, there are 26 several types of cooperatives with 90.086 unit cooperatives which have total number of 8,561.618 partners that are all dependent to Turkish cooperative association as well as Ministry of Industry and Commerce. In this study, the web sites of Turkish agricultural cooperatives were examined in terms of their contents. Also, it is tried to find out the sufficiency level of their electronic marketing activities. Within the context of this study, web sites of 5 agricultural cooperatives are examined in terms of their design.展开更多
In the global information era,people acquire more and more information from the Internet,but the quality of the search results is degraded strongly because of the presence of web spam.Web spam is one of the serious pr...In the global information era,people acquire more and more information from the Internet,but the quality of the search results is degraded strongly because of the presence of web spam.Web spam is one of the serious problems for search engines,and many methods have been proposed for spam detection.We exploit the content features of non-spam in contrast to those of spam.The content features for non-spam pages always possess lots of statistical regularities; but those for spam pages possess very few statistical regularities,because spam pages are made randomly in order to increase the page rank.In this paper,we summarize the regularities distributions of content features for non-spam pages,and propose the calculating probability formulae of the entropy and independent n-grams respectively.Furthermore,we put forward the calculation formulae of multi features correlation.Among them,the notable content features may be used as auxiliary information for spam detection.展开更多
The content-ignorant clustering method takes advantages in time complexity and space complexity than the content based methods.In this paper,the authors introduce a unified expanding method for content-ignorant web pa...The content-ignorant clustering method takes advantages in time complexity and space complexity than the content based methods.In this paper,the authors introduce a unified expanding method for content-ignorant web page clustering by mining the "click-through" log,which tries to solve the problem that the "click-through" log is sparse.The relationship between two nodes which have been expanded is also defined and optimized.Analysis and experiment show that the performance of the new method has improved,by the comparison with the standard content-ignorant method.The new method can also work without iterative clustering.展开更多
文摘After the appearance of the globalization process post of 1980＇s, world has becaming a big village, that had been brought many important outcomes related with cooperatives which are aimed to emit the capital to the base. These conditions have been forced the movement to adopt themselves to this process vitally. As of year 2007, there are 26 several types of cooperatives with 90.086 unit cooperatives which have total number of 8,561.618 partners that are all dependent to Turkish cooperative association as well as Ministry of Industry and Commerce. In this study, the web sites of Turkish agricultural cooperatives were examined in terms of their contents. Also, it is tried to find out the sufficiency level of their electronic marketing activities. Within the context of this study, web sites of 5 agricultural cooperatives are examined in terms of their design.
基金supported by the National Science Foundation of China(No.61170145,61373081)the Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20113704110001)+1 种基金the Technology and Development Project of Shandong(No.2013GGX10125)the Taishan Scholar Project of Shandong,China
文摘In the global information era,people acquire more and more information from the Internet,but the quality of the search results is degraded strongly because of the presence of web spam.Web spam is one of the serious problems for search engines,and many methods have been proposed for spam detection.We exploit the content features of non-spam in contrast to those of spam.The content features for non-spam pages always possess lots of statistical regularities; but those for spam pages possess very few statistical regularities,because spam pages are made randomly in order to increase the page rank.In this paper,we summarize the regularities distributions of content features for non-spam pages,and propose the calculating probability formulae of the entropy and independent n-grams respectively.Furthermore,we put forward the calculation formulae of multi features correlation.Among them,the notable content features may be used as auxiliary information for spam detection.
文摘The content-ignorant clustering method takes advantages in time complexity and space complexity than the content based methods.In this paper,the authors introduce a unified expanding method for content-ignorant web page clustering by mining the "click-through" log,which tries to solve the problem that the "click-through" log is sparse.The relationship between two nodes which have been expanded is also defined and optimized.Analysis and experiment show that the performance of the new method has improved,by the comparison with the standard content-ignorant method.The new method can also work without iterative clustering.
基金Supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20070422107 (高等学校博士学科点专项科研基金)the Key Science-Technology Project of Shandong Province of China under Grant No.2007GG10001002 (山东省科技攻关项目)
