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Bringing order to the Web: automatically categorizing search results

Authors:

Susan DumaisAuthors Info & Claims

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

Pages 145 - 152

https://doi.org/10.1145/332040.332418

Published: 01 April 2000 Publication History

Abstract

We developed a user interface that organizes Web search results into hierarchical categories. Text classification algorithms were used to automatically classify arbitrary search results into an existing category structure on-the-fly. A user study compared our new category interface with the typical ranked list interface of search results. The study showed that the category interface is superior both in objective and subjective measures. Subjects liked the category interface much better than the list interface, and they were 50% faster at finding information that was organized into categories. Organizing search results allows users to focus on items in categories of interest rather than having to browse through all the results sequentially.

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http://cha-cha.berkeley.edu/

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http://search.msn.com/

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Cited By

Rajalakshmi RRaymann JPrabhu AKarthik RAravindan C(2024)AI-UNet: Attention Information-based deep URL Network for adult webpage classificationNeural Computing and Applications10.1007/s00521-024-10408-7Online publication date: 7-Dec-2024
https://doi.org/10.1007/s00521-024-10408-7
Agrawal SKadam KMehta JHole V(2024)Minimizing Web Diversion Using Query Classification and Text MiningData Intelligence and Cognitive Informatics10.1007/978-981-99-7962-2_12(151-165)Online publication date: 7-Jan-2024
https://doi.org/10.1007/978-981-99-7962-2_12
Liao WLiang ZYan D(2024)Fine-Grained Entity Classification Technology for Data Standard AdaptationAdvances in Mechanical Design10.1007/978-981-97-0922-9_109(1711-1719)Online publication date: 20-Jun-2024
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Index Terms

Bringing order to the Web: automatically categorizing search results
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
      1. Internet communications tools
    2. Web services

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cover image ACM Conferences

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

April 2000

587 pages

ISBN:1581132166

DOI:10.1145/332040

Chairmen:
Thea Turner
Motorola Labs
,
Gerd Szwillus
Univ. of Paderborn, Paderborn, Germany

Copyright © 2000 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 April 2000

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CHI00: Human Factors in Computing Systems

April 1 - 6, 2000

The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Rajalakshmi RRaymann JPrabhu AKarthik RAravindan C(2024)AI-UNet: Attention Information-based deep URL Network for adult webpage classificationNeural Computing and Applications10.1007/s00521-024-10408-7Online publication date: 7-Dec-2024
https://doi.org/10.1007/s00521-024-10408-7
Agrawal SKadam KMehta JHole V(2024)Minimizing Web Diversion Using Query Classification and Text MiningData Intelligence and Cognitive Informatics10.1007/978-981-99-7962-2_12(151-165)Online publication date: 7-Jan-2024
https://doi.org/10.1007/978-981-99-7962-2_12
Liao WLiang ZYan D(2024)Fine-Grained Entity Classification Technology for Data Standard AdaptationAdvances in Mechanical Design10.1007/978-981-97-0922-9_109(1711-1719)Online publication date: 20-Jun-2024
https://doi.org/10.1007/978-981-97-0922-9_109
Sandnes F(2024)How Order and Omission of Web Content Can Vary Unintentionally Across User Cohorts: A ReviewUniversal Access in Human-Computer Interaction10.1007/978-3-031-60881-0_6(80-99)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60881-0_6
Liu X(2023)Query Sub-intent Mining by Incorporating Search Results with Query Logs for Information Retrieval2023 IEEE 8th International Conference on Big Data Analytics (ICBDA)10.1109/ICBDA57405.2023.10104948(180-186)Online publication date: 3-Mar-2023
https://doi.org/10.1109/ICBDA57405.2023.10104948
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https://dl.acm.org/doi/10.1145/3460231.3474602
Palani SDing ZNguyen AChuang AMacNeil SDow SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)CoNotate: Suggesting Queries Based on Notes Promotes Knowledge DiscoveryProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445618(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445618
Ashok JBadoni P(2021)Web Content Authentication: A Machine Learning Approach to Identify Fake and Authentic Web Pages on InternetInformation and Communication Technology for Competitive Strategies (ICTCS 2020)10.1007/978-981-16-0882-7_6(85-103)Online publication date: 6-Jul-2021
https://doi.org/10.1007/978-981-16-0882-7_6
Bilal DZhang Y(2021)Teens’ Conceptual Understanding of Web Search Engines: The Case of Google Search Engine Result Pages (SERPs)Human-Computer Interaction. Design and User Experience Case Studies10.1007/978-3-030-78468-3_18(253-270)Online publication date: 3-Jul-2021
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Yang YWang HZhu JShi WGuo WZhang J(2021)Effective Seed-Guided Topic Labeling for Dataless Hierarchical Short Text ClassificationWeb Engineering10.1007/978-3-030-74296-6_21(271-285)Online publication date: 18-May-2021
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