Predicting Personalized Academic and Career Roads: First Steps Toward Multi-Uses Recommender Systems

Alexandre Nadjem, Juan-Manuel Torres-Moreno, M. El-Bèze, Guillaume Marrel, Benoît Bonte
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Abstract

Nobody knows what one's do in the future and everyone will have had a different answer to the question: how do you see yourself in 5 years after your current job/diploma? We introduce concepts, large categories of fields of studies or job domains to represent the vision of the future of the user's trajectory. Then, we show how they can influence the prediction when proposing him a set of next steps to take.
预测个性化的学术和职业道路:迈向多用途推荐系统的第一步
没有人知道自己将来会做什么,对于这个问题,每个人都会有不同的答案:在你目前的工作/毕业后的5年里,你是如何看待自己的?我们引入概念,研究领域或工作领域的大类别来代表用户未来轨迹的愿景。然后,我们展示了他们如何在向他提出一系列下一步行动时影响预测。
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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