An Approach to Web Query Recommendation System

In this work, the authors address the problem of finding desirable and accurate information on the web by search engines due to two problems of low precision and low recall caused by significant and rapid growth in amount of information and the number of users. Based on the studies performed on query recommendation system using keyword extraction from the search results for a query, an algorithm is proposed to suggest alternate search topics which are related to the input query provided. Based on this cluster labels were identified and once these labels are distinguished, search results are assigned to them using frequency of occurrence of any particular label in the corresponding document. Keywords—web mining, query recommendation system.