An immune system approach to personalize search results

Since dawn of the World Wide Web, the retrieval of relevant information has been a major problem for search engines. Current Web search engines use search algorithms to generate results that are suitable for discovering relevant pages to a query, but in doing so they do not consider the user who requested the query. A personalization system helps users to find interesting documents based on their preferences. The issue in this field is low accuracy in retrieved relevant information for particular user. This article proposed a novel technique to personalize the search results. We utilize artificial immune system (AIS) as a successful intelligent technique to find relevant pages in the search results based on user preferences. According to the obtain result, the proposed algorithm based on the AIS improved accuracy in retrieval of relevant information in the Web search results.