recsys 2016 论文列表
Proceedings of the 2016 Recommender Systems Challenge, RecSys Challenge 2016, Boston, Massachusetts, USA, September 15, 2016.
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Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016.
RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting.
A combination of simple models by forward predictor selection for job recommendation.
Multi-stack ensemble for job recommendation.
Temporal learning and sequence modeling for a job recommender system.
Job recommendation based on factorization machine and topic modelling.
A scalable, high-performance Algorithm for hybrid job recommendations.
A bottom-up approach to job recommendation system.
Jobandtalent at RecSys Challenge 2016.
An ensemble method for job recommender systems.
A preliminary study on a recommender system for the job recommendation challenge.
