AUTOMATED RECOMMENDATION OF INFORMATION TO THE MEDIA BY THE IMPLEMENTATION OF WEB SEARCHING TECHNIQUE Dr.Ashit kumar Dutta, Associate Professor, Shaqra University Abstract Internet become the important media among the people all over the world. All other media depend on internet to gather information about the user navigational pattern and uses those information for their development. Web mining is the technology used for research carried out in internet. The notion of the research is to recommend the media to publish the frequently searched topics as news. The research uses google trends and hot trends data to find out the frequently searched topics by the user. An automated system is implemented to crawl items from the google trends and to recommend the same to the media. Keyword: Internet, Recommendation system, feeds, web mining, Text mining I. INTRODUCTION Web is a repository of information. People tends web to grow themselves by doing business. Many useful research gave a good shape to technology to utilise the web in a proper way for the development of society.[1][2] Web mining is the technology used to extract data from the web and provide knowledge from it.[3][4] Figure 1 Web and Information recommendation system A.Google Trends Google trends is one of the service offered by the google Inc. User can compare the volume of searches between two or three terms. Google allows user to track of various words and sentences searched through google. It has many features like organizing data in a pictorial format and customize the process according to the user needs. Google hot trends is the additional feature which give hourly analysis of the search made by the user all over the International Journal of Computer Science and Information Security (IJCSIS), Vol. 13, No. 10, October 2015 56 https://sites.google.com/site/ijcsis/ ISSN 1947-5500