Search (6 results, page 1 of 1)

  • × author_ss:"Hawking, D."
  1. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.03 
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    Date
    14. 8.2005 14:22:22
    Type
    a
  2. Hawking, D.; Zobel, J.: Does topic metadata help with Web search? (2007) 0.00 
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    Abstract
    It has been claimed that topic metadata can be used to improve the accuracy of text searches. Here, we test this claim by examining the contribution of metadata to effective searching within Web sites published by a university with a strong commitment to and substantial investment in metadata. The authors use four sets of queries, a total of 463, extracted from the university's official query logs and from the university's site map. The results are clear: The available metadata is of little value in ranking answers to those queries. A follow-up experiment with the Web sites published in a particular government jurisdiction confirms that this conclusion is not specific to the particular university. Examination of the metadata present at the university reveals that, in addition to implementation deficiencies, there are inherent problems in trying to use subject and description metadata to enhance the searchability of Web sites. Our experiments show that link anchor text, which can be regarded as metadata created by others, is much more effective in identifying best answers to queries than other textual evidence. Furthermore, query-independent evidence such as link counts and uniform resource locator (URL) length, unlike subject and description metadata, can substantially improve baseline performance.
    Type
    a
  3. Wu, M.; Hawking, D.; Turpin, A.; Scholer, F.: Using anchor text for homepage and topic distillation search tasks (2012) 0.00 
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    Abstract
    Past work suggests that anchor text is a good source of evidence that can be used to improve web searching. Two approaches for making use of this evidence include fusing search results from an anchor text representation and the original text representation based on a document's relevance score or rank position, and combining term frequency from both representations during the retrieval process. Although these approaches have each been tested and compared against baselines, different evaluations have used different baselines; no consistent work enables rigorous cross-comparison between these methods. The purpose of this work is threefold. First, we survey existing fusion methods of using anchor text in search. Second, we compare these methods with common testbeds and web search tasks, with the aim of identifying the most effective fusion method. Third, we try to correlate search performance with the characteristics of a test collection. Our experimental results show that the best performing method in each category can significantly improve search results over a common baseline. However, there is no single technique that consistently outperforms competing approaches across different collections and search tasks.
    Type
    a
  4. Hawking, D.; Thistlewaite, P.; Bailey, P.: ANU/ACSys TREC-5 experiments : TREC-5 report (1997) 0.00 
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    Type
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  5. Hawking, D.; Craswell, N.: ¬The very large collection and Web tracks (2005) 0.00 
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  6. Hawking, D.; Thistlewaite, P.: Proximity operators : so near and yet so far (1996) 0.00 
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    Type
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