ACM RecSys Challenge 2016


The RecSys Challenge 2016 is organized by XING and CrowdRec. XING is a social network for business. People use XING, for example, to find a job and recruiters use XING to find the right candidate for a job. At the moment, XING has more than 15 Million users and around 1 Million job postings on the platform. Given a user, the goal of the job recommendation system is to predict those job postings that are likely to be relevant to the user. In order to fulfill this task, various data sources can be exploited. Job recommendations are displayed on xing.com as well as in XING's mobile apps.


Task: given a XING user, the goal is to predict those job postings that a user will click on.

Procedure: We will do a mix of offline evaluation and online evaluation. Descriptions and FAQs about submitting solutions, evaluation metrics, rules, etc. will be discussed in the Wiki.

Details will follow soon.


A detailed description of the dataset, etc. will soon be published on https://github.com/recsyschallenge/2016


Details will follow soon.

Important Dates

* there will be a delay of approximately 10 days.


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