CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
"Delic, Amra" <[log in to unmask]>
Reply To:
Delic, Amra
Date:
Thu, 5 Mar 2020 09:06:01 +0000
Content-Type:
text/plain
Parts/Attachments:
text/plain (52 lines)
Call for participation at the RecSys Challenge 2020
About the Challenge
The RecSys Challenge 2020 is organized by Politecnico di Bari<http://www.en.poliba.it/>, Free University of Bozen-Bolzano<https://www.unibz.it/>, TU Wien<https://www.tuwien.at/en/>, <https://www.colorado.edu/> University of Colorado, Boulder<https://www.colorado.edu/>, and Universidade Federal de Campina Grande<https://portal.ufcg.edu.br/>, and sponsored by Twitter<https://twitter.com/>.
On Twitter, users post and engage with (in the form of Likes, Replies, Retweets and Retweets with comments) content known as “Tweets”. This challenge aims to evaluate novel algorithms for predicting different engagement rates at a large scale, and to push the state-of-the-art in recommender systems. Following the success and advancements in the domain of top-K recommendations, the development of new approaches is encouraged by releasing the largest real-world dataset to predict user engagements. The dataset comprises of roughly 160 million public engagements, along with user and engagement features, that span a period of 2 weeks and contain public interactions (Like, Reply, Retweet and Retweet with comment), as well as roughly 100 million pseudo negatives which are randomly sampled from the public follow graph. While sampling the latter pool of Tweets, a special care is taken about preserving user privacy.
The submitted results will be evaluated on a held-out test set generated from more recent Tweets on the platform. The evaluation metrics will include precision-recall area under curve (PR-AUC) and cross-entropy loss. Participants will also be provided with a validation set, for which the engagement information will be missing. Paying special attention to the users’ privacy, the dataset will be updated daily to ensure GDPR-compliance and the corresponding metrics will be updated on the leaderboard.
Prizes
The best three teams will be rewarded with the following prizes:

  *   Winner: $15,000
  *   Second team: $10,000
  *   Third team: $5,000

Dataset Description
Each data entry will be characterized by the engagement features, user features (for both engaging and authoring users, at the time of data extraction), and tweet features. In total, three datasets will be released:

  *   A training set, obtained by subsampling positive interaction within ~2 weeks
  *   A test set (10% of train), sampled from 24 hours of data
  *   A validation set (10% of train), sampled from 24 hours of data
Participation
In order for participants to gain access to this dataset, and to participate in the challenge, each individual needs to register for a developer account through the following link<https://developer.twitter.com/en/application/use-case>. It is advised to do so as early as possible, as access to the data cannot be granted without prior authorisation.
As part of the RecSys Challenge, you may access Twitter Content (as defined in Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy>). Your access to and use of the Twitter Content is governed by the Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy>). Your access to the Twitter Content is limited to the purposes of the RecSys Challenge and those approved via the application process<https://developer.twitter.com/en/application/use-case>. The Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy> do not expand the license to the Twitter Content.
In addition to the restrictions set out in the Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy>, isolating individual Tweets or users for purposes other than participation in this challenge is strictly forbidden. Other restricted uses of the dataset can be found here<https://developer.twitter.com/en/developer-terms/more-on-restricted-use-cases>.
In order to participate in the RecSys Challenge, individuals need to sign up here<https://developer.twitter.com/en/application/use-case> and here<http://challenge-website-dev.us-west-2.elasticbeanstalk.com/auth/register> to agree to the Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy> and RecSys Challenge's Terms & Conditions listed here<http://challenge-website-dev.us-west-2.elasticbeanstalk.com/>. Twitter is only providing a data set solely as a sponsor of Recsys Challenge 2020. Twitter is not responsible for the RecSys Challenge, which shall be controlled and administered by RecSys as explained here<https://recsys.acm.org/recsys20/challenge/> and here<http://www.recsyschallenge.com/2020/Terms%20and%20Conditions%20in%20the%20RecSys%20Challenge%202020.pdf>. Following the RecSys Challenge, Twitter may make the dataset available for researchers to access subject to the Twitter Developer Agreement and Policy<https://developer.twitter.com/en/developer-terms/agreement-and-policy>.
Important Dates

  *   March 4: Challenge goes live
  *   June 1:
     *   Validation server closes
     *   Test set released
     *   Test server opens
  *   June 7: Challenge closes
  *   June 15: Test results released
  *   July 1: Paper Submission Due
  *   August 1: Paper Acceptance Notifications
  *   August 14: Deadline for camera-ready papers
  *   September 22-26: Workshop taking place as part of the ACM RecSys conference<https://recsys.acm.org/recsys20/> in Rio de Janeiro, Brazil

For more details see here<http://www.recsyschallenge.com/2020/#participation> and here<http://challenge-website-dev.us-west-2.elasticbeanstalk.com/>, and if you have any questions, feel free to post them here<https://groups.google.com/forum/#!forum/recsys-challenge2020>.
All the best,
RecSys Challenge 2020 Team


    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2