Query-sensitive self-adaptable Web page ranking algorithm

This paper analyzes HITS and PageRank, two representative examples of current Web page ranking algorithms, and points out their limitations in capturing both global and local importance scopes. A detailed discussion is also conducted regarding the reasons why manually setting topics adopted by topic-sensitive PageRank algorithm cannot resolve the same problem. Based on the above observation, a new query-sensitive algorithm termed QS page-rank satisfying both global and local authority is introduced, and several strategies for combining our algorithm with traditional PageRank are also proposed. Experiment results show effectiveness of the new page ranking algorithm.