Query Suggestion and Recommendation Using Bipartite Graph and K-Means Clustering
E. S. Samundeeswari, S. Brindha · IJARCCE · 2014
With the diverse and explosive growth of web information, retrieving, organizing and utilizing the information effectively and efficiently has become more and more critical.The first challenge is that it is not easy to recommend latent semantically relevant results to users.The second challenge is to take into account the personalization feature.As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable.Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc., The proposed work carries out query suggestion and recommends query and URL"s using Bipartite graph and Kmeans clustering.