document: Navigating the intranet with high precision Despite the success of web search engines , search over large enterprise intranets still suffers from poor result quality . Earlier work ( 6 ) that compared intranets and the Internet from the view point of keyword search has pointed to several reasons why the search problem is quite different in these two domains . In this paper , we address the problem of providing high quality answers to navigational queries in the intranet ( e.g. , queries intended to find product or personal home pages , service pages , etc. ) . Our approach is based on offline identification of navigational pages , intelligent generation of term-variants to associate with each page , and the construction of separate indices exclusively devoted to answering navigational queries . Using a testbed of 5.5 M pages from the IBM intranet , we present evaluation results that demonstrate that for navigational queries , our approach of using custom indices produces results of significantly higher precision than those produced by a general purpose search algorithm .
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