Information retrieval, Search engine, Relevance, Ranking and World Wide Web are his primary areas of study. David Hawking carries out multidisciplinary research, doing studies in Information retrieval and Track. His Search engine research integrates issues from The Internet, Snippet and Cache.
David Hawking interconnects Reduction and Server in the investigation of issues within Relevance. The Ranking study combines topics in areas such as Home page and Mean reciprocal rank. The various areas that he examines in his Anchor text study include Query language, Data mining, Site map, Link farm and Ranking.
David Hawking mainly investigates Information retrieval, World Wide Web, Relevance, Search engine and Ranking. His Information retrieval study frequently draws connections to adjacent fields such as Data mining. As part of the same scientific family, David Hawking usually focuses on Data mining, concentrating on Index and intersecting with Language model.
His study looks at the relationship between Relevance and fields such as Pattern recognition, as well as how they intersect with chemical problems. His study in the field of Spamdexing, Database search engine and Metasearch engine also crosses realms of Crawling. His Anchor text research incorporates elements of Hyperlink, Site map, Query language, Hypermedia and Ranking.
David Hawking spends much of his time researching Information retrieval, World Wide Web, Multimedia, Index and Session. His work on Search engine as part of general Information retrieval study is frequently linked to Rank, therefore connecting diverse disciplines of science. His World Wide Web study incorporates themes from Relevance and Data set.
He interconnects Hypermedia, Representation and Cover in the investigation of issues within Relevance. His study in Multimedia is interdisciplinary in nature, drawing from both Controlled vocabulary, Paragraph, Metadata and Knowledge representation and reasoning. Resolution is closely connected to Matching in his research, which is encompassed under the umbrella topic of Index.
His primary areas of investigation include Information retrieval, Data mining, Search engine, Ranking and Relevance. His Information retrieval research is multidisciplinary, incorporating elements of Representation and Generative grammar. His Data mining research incorporates themes from Matching, Resolution and Index.
His Search engine study is concerned with World Wide Web in general. His Ranking research is multidisciplinary, relying on both Language model and Reduction. His research in Relevance is mostly concerned with Adversarial information retrieval.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Overview of the TREC-2002 Web Track.
Nick Craswell;David Hawking.
text retrieval conference (2002)
Overview of the TREC-8 Web Track
David Hawking;Ellen M. Voorhees;Nick Craswell;Peter Bailey.
Overview of the TREC-8 Web Track (2000)
Effective site finding using link anchor information
Nick Craswell;David Hawking;Stephen Robertson.
international acm sigir conference on research and development in information retrieval (2001)
Measuring Search Engine Quality
David Hawking;Nick Craswell;Peter Bailey;Kathleen Griffihs.
Information Retrieval (2001)
Challenges in enterprise search
australasian database conference (2004)
Overview of the TREC 2003 Web Track.
Nick Craswell;David Hawking;Ross Wilkinson;Mingfang Wu.
text retrieval conference (2003)
Results and challenges in Web search evaluation
David Hawking;Nick Craswell;Paul Thistlewaite;Donna Harman.
the web conference (1999)
Overview of the TREC-9 Web Track.
text retrieval conference (2000)
Engineering a multi-purpose test collection for web retrieval experiments
Peter Bailey;Nick Craswell;David Hawking.
Information Processing and Management (2003)
Type Less, Find More: Fast Autocompletion Search with a Succinct Index
Holger Bast;Ingmar Weber;Efthimis N. Efthimiadis;Susan Dumais.
Untitled Event (2006)
Profile was last updated on December 6th, 2021.
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