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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 2016 Recommender Systems Challenge, RecSys Challenge 2016, Boston, Massachusetts, USA, September 15, 2016.
注意,当前年度会议可能有其他论文集合,点击查看
A preliminary study on a recommender system for the job recommendation challenge.

Mirko Polato, Fabio Aiolli

An ensemble method for job recommender systems.

Chenrui Zhang, Xueqi Cheng

Jobandtalent at RecSys Challenge 2016.

Jose Ignacio Honrado, Oscar Huarte, Cesar Jimenez, Sebastian Ortega, José R. Pérez-Agüera, Joaquín Pérez-Iglesias, Álvaro Polo, Gabriel Rodríguez

A bottom-up approach to job recommendation system.

Sonu K. Mishra, Manoj Reddy

A scalable, high-performance Algorithm for hybrid job recommendations.

Toon De Pessemier, Kris Vanhecke, Luc Martens

Job recommendation based on factorization machine and topic modelling.

Vasily A. Leksin, Andrey Ostapets

Temporal learning and sequence modeling for a job recommender system.

Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan

Multi-stack ensemble for job recommendation.

Tommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana

A combination of simple models by forward predictor selection for job recommendation.

Dávid Zibriczky

RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting.

Andrzej Pacuk, Piotr Sankowski, Karol Wegrzycki, Adam Witkowski, Piotr Wygocki

Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016.

Wenming Xiao, Xiao Xu, Kang Liang, Junkang Mao, Jun Wang


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