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Term-based commercial intent analysis

Authors:

Charles L.A. ClarkeAuthors Info & Claims

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Pages 800 - 801

https://doi.org/10.1145/1571941.1572135

Published: 19 July 2009 Publication History

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Abstract

In this work, we investigate the contribution of query terms and their corresponding ad click rates on commercial intent of queries. A probabilistic model is proposed following the hypothesis that a query is likely to receive ad clicks based on contributions from its individual terms.

References

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Cited By

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Souha AOuaddi CBenaddi LJakimi A(2023)Pre-Trained Models for Intent Classification in Chatbot: Comparative Study and Critical Analysis2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)10.1109/CommNet60167.2023.10365312(1-6)Online publication date: 11-Dec-2023
https://doi.org/10.1109/CommNet60167.2023.10365312
Zhang ZWei XZheng XLi QZeng D(2022)Detecting Product Adoption Intentions via Multiview Deep LearningINFORMS Journal on Computing10.1287/ijoc.2021.108334:1(541-556)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1287/ijoc.2021.1083
Zhang LShen JZhang JXu JLi ZYao YYu L(2022)Multimodal Marketing Intent Analysis for Effective Targeted AdvertisingIEEE Transactions on Multimedia10.1109/TMM.2021.307326724(1830-1843)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3073267
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Index Terms

Term-based commercial intent analysis
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

July 2009

896 pages

ISBN:9781605584836

DOI:10.1145/1571941

General Chairs:
James Allan
University of Massachusetts Amherst, USA
,
Javed Aslam
Northeastern University, USA
,
Program Chairs:
Mark Sanderson
University of Sheffield, UK
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Justin Zobel
University of Melbourne, Australia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2009

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SIGIR '09

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SIGIR '09: The 32nd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2009

MA, Boston, USA

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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Souha AOuaddi CBenaddi LJakimi A(2023)Pre-Trained Models for Intent Classification in Chatbot: Comparative Study and Critical Analysis2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)10.1109/CommNet60167.2023.10365312(1-6)Online publication date: 11-Dec-2023
https://doi.org/10.1109/CommNet60167.2023.10365312
Zhang ZWei XZheng XLi QZeng D(2022)Detecting Product Adoption Intentions via Multiview Deep LearningINFORMS Journal on Computing10.1287/ijoc.2021.108334:1(541-556)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1287/ijoc.2021.1083
Zhang LShen JZhang JXu JLi ZYao YYu L(2022)Multimodal Marketing Intent Analysis for Effective Targeted AdvertisingIEEE Transactions on Multimedia10.1109/TMM.2021.307326724(1830-1843)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3073267
Kasthuriarachchy BChetty MKarmakar GWalls D(2020)Pre-trained Language Models with Limited Data for Intent Classification2020 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN48605.2020.9207121(1-9)Online publication date: Jul-2020
https://doi.org/10.1109/IJCNN48605.2020.9207121
Duan JChen YLiu TDing X(2015)Mining Intention-Related Products on Online Q&A CommunityJournal of Computer Science and Technology10.1007/s11390-015-1581-730:5(1054-1062)Online publication date: 14-Sep-2015
https://doi.org/10.1007/s11390-015-1581-7
Duan JDing XLiu T(2014)Mining Intention-Related Products on Online Q&A CommunitySocial Media Processing10.1007/978-3-662-45558-6_2(13-24)Online publication date: 2014
https://doi.org/10.1007/978-3-662-45558-6_2
Hollerit BKröll MStrohmaier MSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Towards linking buyers and sellersProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2488009(629-632)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2488009
Ashkan AClarke C(2013)Impact of query intent and search context on clickthrough behavior in sponsored searchKnowledge and Information Systems10.1007/s10115-012-0485-x34:2(425-452)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1007/s10115-012-0485-x
Yu HSakai T(2013)User-Aware AdvertisabilityInformation Retrieval Technology10.1007/978-3-642-45068-6_39(452-463)Online publication date: 2013
https://doi.org/10.1007/978-3-642-45068-6_39
Lewandowski DDrechsler Jvon Mach S(2012)Deriving query intents from web search engine queriesJournal of the American Society for Information Science and Technology10.1002/asi.2270663:9(1773-1788)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1002/asi.22706
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