document: Improvement of HITS-based algorithms on web documents In this paper , we present two ways to improve the precision of HITS-based algorithms on Web documents . First , by analyzing the limitations of current HITS-based algorithms , we propose a new weighted HITS-based method that assigns appropriate weights to in-links of root documents . Then , we combine content analysis with HITS-based algorithms and study the effects of four representative relevance scoring methods , VSM , Okapi , TLS , and CDR , using a set of broad topic queries . Our experimental results show that our weighted HITS-based method performs significantly better than Bharat 's improved HITS algorithm . When we combine our weighted HITS-based method or Bharat 's HITS algorithm with any of the four relevance scoring methods , the combined methods are only marginally better than our weighted HITS-based method . Between the four relevance-scoring methods , there is no significant quality difference when they are combined with a HITS-based algorithm .
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