research-article

The anatomy of a large-scale social search engine

Authors:

Damon Horowitz,

Sepandar D. KamvarAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 431 - 440

https://doi.org/10.1145/1772690.1772735

Published: 26 April 2010 Publication History

Abstract

We present Aardvark, a social search engine. With Aardvark, users ask a question, either by instant message, email, web input, text message, or voice. Aardvark then routes the question to the person in the user's extended social network most likely to be able to answer that question. As compared to a traditional web search engine, where the challenge lies in finding the right document to satisfy a user's information need, the challenge in a social search engine like Aardvark lies in finding the right person to satisfy a user's information need. Further, while trust in a traditional search engine is based on authority, in a social search engine like Aardvark, trust is based on intimacy. We describe how these considerations inform the architecture, algorithms, and user interface of Aardvark, and how they are reflected in the behavior of Aardvark users.

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Cited By

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https://dl.acm.org/doi/10.1007/s11192-024-04970-z
Guo HHe XLv XWu Y(2024)Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex networkNatural Hazards10.1007/s11069-024-06613-1Online publication date: 25-Apr-2024
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Index Terms

The anatomy of a large-scale social search engine
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

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

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

Copyright © 2010 International World Wide Web Conference Committee (IW3C2).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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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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https://dl.acm.org/doi/10.1007/s11192-024-04970-z
Guo HHe XLv XWu Y(2024)Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex networkNatural Hazards10.1007/s11069-024-06613-1Online publication date: 25-Apr-2024
https://doi.org/10.1007/s11069-024-06613-1
Eichinger TKüpper A(2023)Distributed Data Minimization for Decentralized Collaborative Filtering SystemsProceedings of the 24th International Conference on Distributed Computing and Networking10.1145/3571306.3571400(140-149)Online publication date: 4-Jan-2023
https://dl.acm.org/doi/10.1145/3571306.3571400
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