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Towards intent-driven bidterm suggestion

Published: 20 April 2009 Publication History

Abstract

In online advertising, pervasive in commercial search engines, advertisers typically bid on few terms, and the scarcity of data makes ad matching difficult. Suggesting additional bidterms can significantly improve ad clickability and conversion rates. In this paper, we present a large-scale bidterm suggestion system that models an advertiser's intent and finds new bidterms consistent with that intent. Preliminary experiments show that our system significantly increases the coverage of a state of the art production system used at Yahoo while maintaining comparable precision.

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  1. Towards intent-driven bidterm suggestion

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    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    • (2010)Automatic generation of bid phrases for online advertisingProceedings of the third ACM international conference on Web search and data mining10.1145/1718487.1718530(341-350)Online publication date: 4-Feb-2010
    • (2009)Web-scale distributional similarity and entity set expansionProceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 210.5555/1699571.1699635(938-947)Online publication date: 6-Aug-2009

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