Now showing items 3-8 of 8

    • Boolean Query Formulation with Relevance Feedback 

      Salton, Gerard; Fox, Edward A.; Buckley, Chris; Voorhees, Ellen M. (Cornell University, 1983-01)
      The well-known relevance feedback process uses information extracted from previously retrieved relevant documents to generate improved search formulations for subsequent search iterations. Methods are outlined in this ...
    • The Cluster Hypothesis Revisited 

      Voorhees, Ellen M. (Cornell University, 1985-01)
      A new means of evaluating the cluster hypothesis is introduced and the results of such an evaluation are presented for four collections. The results of retrieval experiments comparing a sequential search, a cluster-based ...
    • A Comparison of Two Methods for Boolean Query Relevance Feedback 

      Salton, Gerard; Fox, Edward A.; Voorhees, Ellen M. (Cornell University, 1983-07)
      The relevance feedback process uses information derived from an initially retrieved set of documents to improve subsequent search formulations and retrieval output. In a Boolean query environment this implies that new ...
    • The Effectiveness and Efficiency of Agglomerative Hierarchic Clustering in Document Retrieval 

      Voorhees, Ellen M. (Cornell University, 1985-10)
      ABSTRACT NOT SUPPLIED
    • The Efficiency of Inverted Index and Cluster Searches 

      Voorhees, Ellen M. (Cornell University, 1986-05)
      The processing time and disk space requirements of an inverted index and top-down cluster search are compared. The cluster search is shown to use both more time and more disk space, mostly due to the large number of ...
    • Implementing Agglomerative Hierarchic Clustering Algorithms for Use in Document Retrieval 

      Voorhees, Ellen M. (Cornell University, 1986-07)
      Searching hierarchically clustered document collections can be effective, but creating the cluster hierarchies is expensive since there are both many documents and many terms. However, the information in the document-term ...