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10.1145/1772690.1772788acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
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Faceted exploration of image search results

Published: 26 April 2010 Publication History

Abstract

This paper describes MediaFaces, a system that enables faceted exploration of media collections. The system processes semi-structured information sources to extract objects and facets, e.g. the relationships between two objects. Next, we rank the facets based on a statistical analysis of image search query logs, and the tagging behaviour of users annotating photos in Flickr. For a given object of interest, we can then retrieve the top-k most relevant facets and present them to the user. The system is currently deployed in production by Yahoo!'s image search engine1. We present the system architecture, its main components, and the application of the system as part of the image search experience.

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Cited By

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  • (2023)A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search SystemsInformation10.3390/info1407038714:7(387)Online publication date: 7-Jul-2023
  • (2022)ISRE-Framework: nonlinear and multimodal exploration of image search result spacesMultimedia Tools and Applications10.1007/s11042-022-12561-481:19(27275-27308)Online publication date: 25-Mar-2022
  • (2021)Comprehensive Review and Future Research Directions on Dynamic Faceted SearchApplied Sciences10.3390/app1117811311:17(8113)Online publication date: 31-Aug-2021
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Published In

cover image ACM Other conferences
WWW '10: Proceedings of the 19th international conference on World wide web
April 2010
1407 pages
ISBN:9781605587998
DOI:10.1145/1772690

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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Author Tags

  1. faceted browsing
  2. image search
  3. object extraction
  4. ranking

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  • Research-article

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WWW '10
WWW '10: The 19th International World Wide Web Conference
April 26 - 30, 2010
North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2023)A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search SystemsInformation10.3390/info1407038714:7(387)Online publication date: 7-Jul-2023
  • (2022)ISRE-Framework: nonlinear and multimodal exploration of image search result spacesMultimedia Tools and Applications10.1007/s11042-022-12561-481:19(27275-27308)Online publication date: 25-Mar-2022
  • (2021)Comprehensive Review and Future Research Directions on Dynamic Faceted SearchApplied Sciences10.3390/app1117811311:17(8113)Online publication date: 31-Aug-2021
  • (2020)Review of Techniques in Faceted Search Applications2020 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC49221.2020.9297275(1-5)Online publication date: 20-Oct-2020
  • (2019)Automatic Extraction of Facets for User Queries [AEFUQ]2019 Fifteenth International Conference on Information Processing (ICINPRO)10.1109/ICInPro47689.2019.9092063(1-6)Online publication date: Dec-2019
  • (2019)Automatic Facet Generation and Selection over Knowledge GraphsSemantic Systems. The Power of AI and Knowledge Graphs10.1007/978-3-030-33220-4_23(310-325)Online publication date: 4-Nov-2019
  • (2017)Numerical Facet Range PartitionProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3054195(662-671)Online publication date: 3-Apr-2017
  • (2017)A system architecture for faceted querying2017 International Conference on Information Science and Communications Technologies (ICISCT)10.1109/ICISCT.2017.8188568(1-5)Online publication date: Nov-2017
  • (2017)Faceted exploration of RDF/S datasetsJournal of Intelligent Information Systems10.1007/s10844-016-0413-848:2(329-364)Online publication date: 1-Apr-2017
  • (2015)Exploitation and Exploration Balanced Hierarchical Summary for Landmark ImagesIEEE Transactions on Multimedia10.1109/TMM.2015.246011117:10(1773-1786)Online publication date: Oct-2015
  • Show More Cited By

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