RSS feeding management by machine learning techniques

The knowledge accumulation is being increased by the effects of the radip development of the internet in recent years. Terms are becoming common in use such as forums, blog pages, news sources, e-commerce and e- learning. Whether qualified or unqualified, all these accumulation causes the knowledge pollution. In order to reach the information; more than one site, which are similar with eachother, must be visited and appropriate information needs to be brought together. The user needs to classify and analyze the accessed data and distinguish these data from the unnecassary information. In this study, it has been purposed to present a system which provides convenience to the user while analizing or filtering the data by the machine learning tecniques. It?s provided to access the information from only one web site, by the innovations which are brought by the Rss Technology to the web environment.In this study, it?s aimed to teach the users? news reading habits to the web site by the help of the Rss adressess which belong more than one source, a script language and a database programme.