Article

Query rewriting using active learning for sponsored search

Authors:

Wei Vivian Zhang,

Xiaofei He,

Benjamin Rey,

Rosie JonesAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 853 - 854

https://doi.org/10.1145/1277741.1277942

Published: 23 July 2007 Publication History

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Abstract

Sponsored search is a major revenue source for search companies. Web searchers can issue any queries, while advertisement keywords are limited. Query rewriting technique effectively matches user queries with relevant advertisement keywords, thus increases the amount of web advertisements available. The match relevance is critical for clicks. In this study, we aim to improve query rewriting relevance. For this purpose, we use an active learning algorithm called Transductive Experimental Design to select the most informative samples to train the query rewriting relevance model. Experiments show that this approach significantly improves model accuracy and rewriting relevance.

References

[1]

Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In Proceedings of WWW, Edinburgh, Scotland, 2006.

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[2]

K. Yu, J. Bi, and V. Tresp. Active learning via transductive experimental design. In Proc. of the 23rd International Conference on Machine Learning, 2006.

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Liu DYang YZhang MWu WXie XSun GAl Hasan MXiong L(2022)Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation CandidatesProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557114(3322-3331)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557114
Liu ZLian JYang JLian DXie XHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)OctopusProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401088(289-298)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401088
Han FNiu DChen HGuo WYan SLong BGupta RLiu YShah MRajan STang JPrakash B(2020)Meta-Learning for Query Conceptualization at Web ScaleProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3394486.3403357(3064-3073)Online publication date: 23-Aug-2020
https://dl.acm.org/doi/10.1145/3394486.3403357
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Index Terms

Query rewriting using active learning for sponsored search
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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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Association for Computing Machinery

New York, NY, United States

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Published: 23 July 2007

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SIGIR07

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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

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Liu DYang YZhang MWu WXie XSun GAl Hasan MXiong L(2022)Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation CandidatesProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557114(3322-3331)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557114
Liu ZLian JYang JLian DXie XHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)OctopusProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401088(289-298)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401088
Han FNiu DChen HGuo WYan SLong BGupta RLiu YShah MRajan STang JPrakash B(2020)Meta-Learning for Query Conceptualization at Web ScaleProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3394486.3403357(3064-3073)Online publication date: 23-Aug-2020
https://dl.acm.org/doi/10.1145/3394486.3403357
ter Hoeve MSim RNouri EFourney Ade Rijke MWhite RO'Brien HFreund LArapakis IHoeber OLopatovska I(2020)Conversations with Documents: An Exploration of Document-Centered AssistanceProceedings of the 2020 Conference on Human Information Interaction and Retrieval10.1145/3343413.3377971(43-52)Online publication date: 14-Mar-2020
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Galitsky BGalitsky B(2020)Acquiring New Definitions of EntitiesArtificial Intelligence for Customer Relationship Management10.1007/978-3-030-52167-7_6(193-263)Online publication date: 8-Dec-2020
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Yang XSun DZhu RDeng TGuo ZDing ZQin SZhu YTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)AiAdsProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330782(1881-1890)Online publication date: 25-Jul-2019
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Fan MGuo JZhu SMiao SSun MLi PTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)MOBIUSProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330651(2509-2517)Online publication date: 25-Jul-2019
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Vattikonda BKodipaka SZhou HDave VGuha SSnoeren ACao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Interpreting Advertiser Intent in Sponsored SearchProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2788566(2177-2185)Online publication date: 10-Aug-2015
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Qin TChen WLiu T(2015)Sponsored Search AuctionsACM Transactions on Intelligent Systems and Technology10.1145/26681085:4(1-34)Online publication date: 23-Jan-2015
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Bao ZZeng YLing TZhang DLi GJagadish H(2015)A general framework to resolve the MisMatch problem in XML keyword searchThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-015-0386-124:4(493-518)Online publication date: 1-Aug-2015
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Diversity driven Query Rewriting in Search Advertising

Sponsored Search: Is Money a Motivator for Providing Relevant Results?

Impact of query intent and search context on clickthrough behavior in sponsored search

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