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A scalable, high-performance Algorithm for hybrid job recommendations
2016
Proceedings of the Recommender Systems Challenge on - RecSys Challenge '16
Recommender systems can be used as a tool to assist people in finding a job. However, this specific domain requires expert algorithms with domain knowledge to recommend jobs conformable to people's expertise and interests. This is the topic of the Recsys Challenge 2016, which aims for an algorithm that predicts the job postings that a user will positively interact with. Our solution is a hybrid algorithm combining a content-based and KNN approach. The contentbased algorithm matches features of
doi:10.1145/2987538.2987539
dblp:conf/recsys/PessemierVM16
fatcat:pdhnc5lhe5hp7nit2b3h7tievu