What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- World Wide Web
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.
His most cited work include:
- Effective site finding using link anchor information (283 citations)
- Measuring Search Engine Quality (199 citations)
- Overview of the TREC 2003 Web Track. (169 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Information retrieval (70.09%)
- World Wide Web (27.35%)
- Relevance (21.37%)
What were the highlights of his more recent work (between 2010-2020)?
- Information retrieval (70.09%)
- World Wide Web (27.35%)
- Multimedia (5.98%)
In recent papers he was focusing on the following fields of study:
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.
Between 2010 and 2020, his most popular works were:
- Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution (24 citations)
- On Term Selection Techniques for Patent Prior Art Search (19 citations)
- Using anchor text for homepage and topic distillation search tasks (14 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- World Wide Web
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.
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