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Using landing pages for sponsored search ad selection

Published: 26 April 2010 Publication History

Abstract

We explore the use of the landing page content in sponsored search ad selection. Specifically, we compare the use of the ad's intrinsic content to augmenting the ad with the whole, or parts, of the landing page. We explore two types of extractive summarization techniques to select useful regions from the landing pages: out-of-context and in-context methods. Out-of-context methods select salient regions from the landing page by analyzing the content alone, without taking into account the ad associated with the landing page. In-context methods use the ad context (including its title, creative, and bid phrases) to help identify regions of the landing page that should be used by the ad selection engine. In addition, we introduce a simple yet effective unsupervised algorithm to enrich the ad context to further improve the ad selection. Experimental evaluation confirms that the use of landing pages can significantly improve the quality of ad selection. We also find that our extractive summarization techniques reduce the size of landing pages substantially, while retaining or even improving the performance of ad retrieval over the method that utilize the entire landing page.

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      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. compositional semantics
      2. extractive summarization
      3. landing pages
      4. sponsored search

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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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      • (2023)Dark sides of artificial intelligence: The dangers of automated decision‐making in search engine advertisingJournal of the Association for Information Science and Technology10.1002/asi.24798Online publication date: 30-May-2023
      • (2021)Improving Bounce Rate Prediction for Rare Queries by Leveraging Landing Page SignalsCompanion Proceedings of the Web Conference 202110.1145/3442442.3453540(1-6)Online publication date: 19-Apr-2021
      • (2020)Extreme Regression for Dynamic Search AdvertisingProceedings of the 13th International Conference on Web Search and Data Mining10.1145/3336191.3371768(456-464)Online publication date: 20-Jan-2020
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      • (2018)Differences Across Device Usage in Search Engine AdvertisingMulti-Platform Advertising Strategies in the Global Marketplace10.4018/978-1-5225-3114-2.ch010(250-279)Online publication date: 2018
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