A PERSONALIZED WEB SEARCH BASED ON USER PROFILE AND USER CLICKS

Generally web search engines are built to serve all users, independent of the individual needs of any user. Personalization of web search is to carry out retrieval for each user incorporating their interest. This has become an important factor in daily usage as it improves the retrieval effectiveness on topics that the user would look for. There are several studies that have been done in this field. This paper proposes a new idea on personalized web search which is based on user profile and user clicks. Based on the rapid increase in Internet usage, users are more dependent on the web search engine for various information needs. The query submitted by the user has the features of shortness, ambiguousness and incompleteness(10). As the amount of information on the Web increases rapidly, it creates newer challenges for Web search. When similar queries are submitted by multiple users, a general search engine could return the same result, In the current scenario, where users expect systems to be intelligent and support their information search, the general search engine is no longer workable. Systems have to be made sensitive to user likes by understanding their search patterns over a period of time. This will enable users to obtain more relevant results to searches on similar queries posted in the internet search engines. Personalization of web search has been area of research in the recent times several efficient approaches have been derived based on related studies and observations.Of the several methods that have been proposed and imple-mented, this paper focuses on two methods -User Clicks and User Profile. This paper proposes an novel idea of combining two crucial methods - user profile and user clicks to enhance the web based search and increase the level of personalization.