ABSTRACT

The concept of Information Retrieval is very vast and too many models of search engines are available in the market. In this research various information retrieval techniques used in search engine were studies and modified model of search engine were developed. In web mining most of the web search engines retrieve the documents or information first without knowing the meaning of the keyword and then ask for the relevant meaning of the keyword entered by the users. That means without understanding the exact meaning of keyword if it has synonymy or polysemy meanings. Search engine retrieve the documents as per its perception and then ask for did you mean? Due to that it takes more time to retrieve the relevant or quality documents. As in existing search engine there are too many problems by using previous techniques; there is need to develop, modify or combine more than existing algorithm. The proposed model; preference mining is based on existing model with few modifications. In this model first user’s preference will be taken into account and then information gets retrieved. By using this model knowledge seekers will get relevant documents as per their interest within short period of time.