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SerpentTI: flexible analytics of users, boards and domains for pinterest

Published: 18 June 2014 Publication History

Abstract

Pinterest is a pinboard style photo sharing web service that allows its users to manage, share and express their interests via a collection of theme based photos. A few design choices of Pinterest makes it highly desirable to social media practitioners and marketers as a new, high quality data source for deep analysis, or as a complimentary data stream to existing social data such as Twitter and Facebook. The analysis capabilities at the current Pinterest site are minimal however as the focus is currently on user experience. We provide a description of SerpentTI, a system that currently crawls, indexes and aggregates more than 31 million users, 96 million boards and 3.1 billion pins from Pinterest to enable flexible and deep analytics.

References

[1]
http://santiago3.cs.toronto.edu/pinterest/.
[2]
http://www.pinterest.com/.
[3]
J. Slegg. Pinterest tops 70 million users; 30% pinned, repinned, or liked in June. http://bit.ly/13rl0h0, July 2013.

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    cover image ACM Conferences
    SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
    June 2014
    1645 pages
    ISBN:9781450323765
    DOI:10.1145/2588555
    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 the author(s) 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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    Publication History

    Published: 18 June 2014

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    Author Tags

    1. analytics
    2. pinterest
    3. social media

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    • Demonstration

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    SIGMOD/PODS'14
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    SIGMOD '14 Paper Acceptance Rate 107 of 421 submissions, 25%;
    Overall Acceptance Rate 785 of 4,003 submissions, 20%

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