A MACHINE LEARNING APPROACH FOR RECOMMENDATION IN SEARCH ENGINE
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Abstract
Internet contains huge information that is accessible worldwide. If we have any query we just go to some search engine like Google, yahoo etc; type our query and we get the links on the internet then we browse through them to find the content of our interest. That means after searching on the internet we again search (better say we do re-search) in the documents or web pages to get the required information. So, this paper is based on removing/minimizing the latter part of searching i.e. you simply type a query and it will extract the information of your interest. This will be done by making a Search Engine in which the system will collect the results from the internet by searching in the web pages available online and then extract the information of user interest and recommend.
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