skip to main content
10.1145/3209978.3210207acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
abstract

Large Scale Search Engine Marketing (SEM) at Airbnb

Published: 27 June 2018 Publication History

Abstract

Airbnb is an online marketplace which connects hosts and guests all over the world. Our inventory includes over 4.5 million listings, which enable the travel of over 300 million guests. The growth team at Airbnb is responsible for helping travelers find Airbnb, in part by participating in ad auctions on major search platforms such as Google and Bing. In this talk, we will describe how ad- vertising efficiently on these platforms requires solving several information retrieval and machine learning problems, including query understanding, click value estimation, and realtime pacing of our expenditure.

References

[1]
Dhruv Arya and Ganesh Venkataraman . 2017. Search Without a Query: Powering Job Recommendations via Search Index at LinkedIn. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1347--1347.
[2]
Dhruv Arya, Ganesh Venkataraman, Aman Grover, and Krishnaram Kenthapadi . 2017. Candidate Selection for Large Scale Personalized Search and Recommender Systems Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1391--1393.
[3]
Maxime Beauchemin . 2015. Airflow: a workflow management platform. (2015). deftempurl%https://medium.com/airbnb-engineering/airflow-a-workflow-management-platform-46318b977fd8 Retrieved May 2, 2018 from tempurl
[4]
Aman Grover, Dhruv Arya, and Ganesh Venkataraman . 2017. Latency Reduction via Decision Tree Based Query Construction Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. 1399--1407.
[5]
Viet Ha-Thuc, Ganesh Venkataraman, Mario Rodriguez, Shakti Sinha, Senthil Sundaram, and Lin Guo . 2015. Personalized expertise search at LinkedIn. In 2015 IEEE International Conference on Big Data (Big Data). 1238--1247.
[6]
Hal R. Varian . 2009. Online Ad Auctions. American Economic Review Vol. 99, 2 (May . 2009), 430--34.
[7]
Ganesh Venkataraman, Abhimanyu Lad, Viet Ha-Thuc, and Dhruv Arya . 2016. Instant Search: A Hands-on Tutorial. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. 1211--1214.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
June 2018
1509 pages
ISBN:9781450356572
DOI:10.1145/3209978
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2018

Check for updates

Author Tags

  1. advertising systems
  2. forecasting
  3. information retrieval
  4. pacing

Qualifiers

  • Abstract

Conference

SIGIR '18
Sponsor:

Acceptance Rates

SIGIR '18 Paper Acceptance Rate 86 of 409 submissions, 21%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 464
    Total Downloads
  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)3
Reflects downloads up to 07 Mar 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media