26-08-2017, 10:46 AM
The Web directory is viewed as a thematic hierarchy and customization is done by building user community models based on usage data. In contrast to most of the work on mining the Web, the usage data discussed here correspond to the user's browsing through the Web, rather than a particular Web site, exhibiting a high degree of thematic diversity. To model user communities, we introduce a novel methodology that combines the navigation behavior of users with thematic information of web directories. Following this methodology, we improve the clustering and the probabilistic approaches presented in previous works and also present a new algorithm that combines these two approaches. The resulting community models take the form of Community Web Directories. The proposed customization methodology is evaluated both in a specialized directory and in a general purpose Web directory, indicating its potential value to the Web user. Experiments also evaluate the effectiveness of different mechanical learning techniques in the task.
Mining Web usage is the application of data mining, which is used to extract useful information from the online community. The World Wide Web contains at least 4.73 billion pages according to the indexed Web and contains at least 228.52 million pages according to the Dutch web indexed on August 6, 2015, on Thursday. It is difficult to obtain the necessary data from these billions of web pages on the World Wide Web. Here is the importance of mining the use of the web. Search engine customization helps the web user identify the most commonly used data in an easy way. Reduces time consumption; Automatic site search and automatic restoration of useful sites. This study represents the ancient techniques of the latest techniques used in the discovery and analysis of patterns in web mining from 1996 to 2015. The analysis of the motive of the user helps in the improvement of business, e-commerce, personalization and improving websites.
Mining Web usage is the application of data mining, which is used to extract useful information from the online community. The World Wide Web contains at least 4.73 billion pages according to the indexed Web and contains at least 228.52 million pages according to the Dutch web indexed on August 6, 2015, on Thursday. It is difficult to obtain the necessary data from these billions of web pages on the World Wide Web. Here is the importance of mining the use of the web. Search engine customization helps the web user identify the most commonly used data in an easy way. Reduces time consumption; Automatic site search and automatic restoration of useful sites. This study represents the ancient techniques of the latest techniques used in the discovery and analysis of patterns in web mining from 1996 to 2015. The analysis of the motive of the user helps in the improvement of business, e-commerce, personalization and improving websites.