RecSys Challenge 2016: Job Recommendations

F. Abel, A. Benczúr, Daniel Kohlsdorf, M. Larson, Róbert Pálovics
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引用次数: 45

Abstract

The 2016 ACM Recommender Systems Challenge focused on the problem of job recommendations. Given a large dataset from XING that consisted of anonymized user profiles, job postings, and interactions between them, the participating teams had to predict postings that a user will interact with. The challenge ran for four months with 366 registered teams. 119 of those teams actively participated and submitted together 4,232 solutions yielding in an impressive neck-and-neck race that was decided within the last days of the challenge.
RecSys挑战2016:工作推荐
2016年ACM推荐系统挑战赛关注的是工作推荐问题。给定来自XING的大型数据集,其中包括匿名用户配置文件、职位发布以及它们之间的交互,参与团队必须预测用户将与之交互的帖子。这项挑战持续了四个月,共有366支注册队伍参加。其中119个团队积极参与,共提交了4232个解决方案,在挑战的最后几天内决定了一场令人印象深刻的不分伯仲的比赛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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