article

A taxonomy of web search

Author:

Andrei BroderAuthors Info & Claims

ACM SIGIR Forum, Volume 36, Issue 2

Pages 3 - 10

https://doi.org/10.1145/792550.792552

Published: 01 September 2002 Publication History

Abstract

Classic IR (information retrieval) is inherently predicated on users searching for information, the so-called "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction, e.g. shop, download a file, or find a map). We explore this taxonomy of web searches and discuss how global search engines evolved to deal with web-specific needs.

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Cited By

Anwar Alhenshiri (2024)Web Information Gathering, Which Subtask to Investigate? A User StudyThe International Journal of Engineering & Information Technology (IJEIT)10.36602/ijeit.v1i2.4331:2Online publication date: 28-Jun-2024
https://doi.org/10.36602/ijeit.v1i2.433
Sultana TMandal ASaha HSultan MHossain M(2024)Intent Identification by Semantically Analyzing the Search QueryModelling10.3390/modelling50100165:1(292-314)Online publication date: 22-Feb-2024
https://doi.org/10.3390/modelling5010016
Jumde AKeskar R(2024)Query reformulation system based on WordNet and word vectors clustersJournal of Intelligent & Fuzzy Systems10.3233/JIFS-23629646:4(9119-9137)Online publication date: 18-Apr-2024
https://doi.org/10.3233/JIFS-236296
Show More Cited By

A taxonomy of web search
1. Information systems
  1. Information retrieval

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Published In

cover image ACM SIGIR Forum

ACM SIGIR Forum Volume 36, Issue 2

Fall 2002

99 pages

ISSN:0163-5840

DOI:10.1145/792550

Issue’s Table of Contents

Copyright © 2002 Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2002

Published in SIGIR Volume 36, Issue 2

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Cited By

Anwar Alhenshiri (2024)Web Information Gathering, Which Subtask to Investigate? A User StudyThe International Journal of Engineering & Information Technology (IJEIT)10.36602/ijeit.v1i2.4331:2Online publication date: 28-Jun-2024
https://doi.org/10.36602/ijeit.v1i2.433
Sultana TMandal ASaha HSultan MHossain M(2024)Intent Identification by Semantically Analyzing the Search QueryModelling10.3390/modelling50100165:1(292-314)Online publication date: 22-Feb-2024
https://doi.org/10.3390/modelling5010016
Jumde AKeskar R(2024)Query reformulation system based on WordNet and word vectors clustersJournal of Intelligent & Fuzzy Systems10.3233/JIFS-23629646:4(9119-9137)Online publication date: 18-Apr-2024
https://doi.org/10.3233/JIFS-236296
Lafia SMillion AHemphill L(2024)Exploratory and directed search strategies at a social science data archiveIASSIST Quarterly10.29173/iq108748:1Online publication date: 28-Mar-2024
https://doi.org/10.29173/iq1087
Prabhudesai SGoldstein DHofman JRothschild D(2024)A Taxonomy for Understanding and Identifying Uncertainty in AI-Generated ResponsesSSRN Electronic Journal10.2139/ssrn.4836380Online publication date: 2024
https://doi.org/10.2139/ssrn.4836380
Zhou WLin MXiao MFang L(2024)Higher Precision Is Not Always Better: Search Algorithm and Consumer EngagementManagement Science10.1287/mnsc.2023.00478Online publication date: 28-Oct-2024
https://doi.org/10.1287/mnsc.2023.00478
Ayala MGonzálvez-Gallego NArteaga-Sánchez R(2024)Google search volume index and investor attention in stock market: a systematic reviewFinancial Innovation10.1186/s40854-023-00606-y10:1Online publication date: 29-Jul-2024
https://doi.org/10.1186/s40854-023-00606-y
Cheng MZhu Z(2024)Consumer Click Responses to Paid Ad Set Strategies of Search PlatformsCornell Hospitality Quarterly10.1177/19389655241230504Online publication date: 14-Feb-2024
https://doi.org/10.1177/19389655241230504
Abdul Jalil NHamid S(2024)What financial topics do people search for? An analysis of search queries using text miningJournal of Information Science10.1177/01655515241227533Online publication date: 8-May-2024
https://doi.org/10.1177/01655515241227533
Keizer NAscigil OKról MKutscher DPavlou G(2024)A Survey on Content Retrieval on the Decentralised WebACM Computing Surveys10.1145/364913256:8(1-39)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3649132
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