World's Best Scientists 2026 revealed!
Oliver Hurst-Hiller

Oliver Hurst-Hiller

D-Index & Metrics

Computer Science

D-Index
33
Citations
5628
World Ranking
12541
National Ranking
5090

Overview

What is he best known for?

The fields of study he is best known for:

  • World Wide Web
  • The Internet
  • Database

The scientist’s investigation covers issues in Information retrieval, World Wide Web, Web search query, Component and Human–computer interaction. His study in the field of Query optimization and Sargable also crosses realms of Content. His World Wide Web study combines topics from a wide range of disciplines, such as Annotation and Media content.

His Web search query research includes elements of Query language and Query expansion. His Human–computer interaction research is multidisciplinary, incorporating elements of Online advertising, Brick and mortar, Advertising and Presentation. His work on Data mining expands to the thematically related Query by Example.

His most cited work include:

  • System and method for annotating web-based document (487 citations)
  • Machine assisted query formulation (252 citations)
  • Searching for content using voice search queries (191 citations)

What are the main themes of his work throughout his whole career to date?

Oliver Hurst-Hiller mainly investigates Information retrieval, World Wide Web, Web search query, Search engine and Data mining. When carried out as part of a general Information retrieval research project, his work on Search analytics is frequently linked to work in State, therefore connecting diverse disciplines of study. His work in the fields of World Wide Web, such as Web page and Hyperlink, intersects with other areas such as Component, Architecture and Event.

His work in the fields of Web search query, such as Web query classification, overlaps with other areas such as Multi dimensional search. The study incorporates disciplines such as Query language, Query by Example, Sargable and Query optimization in addition to Web query classification. He has included themes like Relevance, Index and Social network in his Search engine study.

He most often published in these fields:

  • Information retrieval (62.22%)
  • World Wide Web (35.56%)
  • Web search query (28.89%)

What were the highlights of his more recent work (between 2006-2013)?

  • Information retrieval (62.22%)
  • Web search query (28.89%)
  • Sargable (11.11%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Information retrieval, Web search query, Sargable, Query optimization and RDF query language. The various areas that he examines in his Information retrieval study include The Internet and Dialog box. His Web search query research includes themes of Query language, Data mining and Query expansion.

Between 2006 and 2013, his most popular works were:

  • Machine assisted query formulation (252 citations)
  • Voice-based search processing (171 citations)
  • Incremental query refinement (161 citations)

Best Publications

  • System and method for annotating web-based document

    Matthew Rubin Lerner;Oliver Hurst-Hiller;Jesse Gardner Kocher;David Keel Peck

  • Machine assisted query formulation

    John C. Platt;Gary W. Flake;Ramez Naam;Anoop Gupta

  • Searching for content using voice search queries

    Oliver Hurst-Hiller;Julia H Farago

  • Searching an index of media content

    Oliver Hurst-Hiller;Julia Farago

  • Voice-based search processing

    John C. Platt;Gary W. Flake;Ramez Naam;Anoop Gupta

  • Incremental query refinement

    Brett D. Brewer;Oliver Hurst-Hiller

  • Desktop search from mobile device

    Raymond E. Ozzie;Eric J. Horvitz;William H. Gates;Joshua T. Goodman

  • Visual and multi-dimensional search

    Stephen Lawler;Eric J. Horvitz;Joshua T. Goodman;Anoop Gupta

  • Employment of offline behavior to display online content

    Gary W. Flake;William H. Gates;Eric J. Horvitz;Joshua T. Goodman

  • System and method for generating alternative search terms

    Brett Brewer;Eric Watson;Eric Brill;James Dai

  • Using offline activity to enhance online searching

    Gary W. Flake;William H. Gates;Eric J. Horvitz;Joshua T. Goodman

  • Presentation-level content filtering for a search result

    Oliver Hurst-Hiller;Jamie Paul Buckley

  • Web-based targeted advertising in a brick-and-mortar retail establishment using online customer information

    Xuedong D. Huang;William H. Gates;Eric J. Horvitz;Joshua T. Goodman

  • System and method for a unified and blended search

    Oliver Hurst-Hiller;Eric B. Watson;Eddie L. Mays

  • Entity-specific search model

    Christopher D. Payne;Eric J. Horvitz;Alexander G. Gounares;Susan T. Dumais

  • Context-based search, retrieval, and awareness

    Susan T. Dumais;Kyle G. Peltonen;Anoop Gupta;Bradly A. Brunell

  • Consolidating local and remote taxonomies

    Oliver Hurst-Hiller;Michael I. Torres;Jane T. Kim

  • Search results injected into client applications

    Oliver Hurst-Hiller;Srinivasa V. Thirumalai-Anandanpillai;Neel I. Murarka;Marek L. Gorecki

  • Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce

    Christopher A. Meek;Eric J. Horvitz;Joshua T. Goodman;Gary W. Flake

  • Architecture for user- and context- specific prefetching and caching of information on portable devices

    Raymond E. Ozzie;Eric J. Horvitz;William H. Gates;Joshua T. Goodman

Frequent Co-Authors

Gary W. Flake
Gary W. Flake Independent Scientist / Consultant, US
Eric Horvitz
Eric Horvitz Microsoft (United States)
Joshua T. Goodman
Joshua T. Goodman Microsoft (United States)
William H. Gates
William H. Gates Microsoft (United States)
John Platt
John Platt Google (United States)
Eric Brill
Eric Brill Microsoft (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Raymond E. Ozzie
Raymond E. Ozzie Microsoft (United States)
Christopher A. Meek
Christopher A. Meek Microsoft (United States)
Alexander G. Gounares
Alexander G. Gounares Microsoft (United States)

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