Abstract is missing.
- Jobandtalent at RecSys Challenge 2016Jose Ignacio Honrado, Oscar Huarte, Cesar Jimenez, Sebastian Ortega, José R. Pérez-Agüera, Joaquín Pérez-Iglesias, Álvaro Polo, Gabriel Rodríguez. [doi]
- Multi-stack ensemble for job recommendationTommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana. [doi]
- RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boostingAndrzej Pacuk, Piotr Sankowski, Karol Wegrzycki, Adam Witkowski, Piotr Wygocki. [doi]
- An ensemble method for job recommender systemsChenrui Zhang, Xueqi Cheng. [doi]
- A scalable, high-performance Algorithm for hybrid job recommendationsToon De Pessemier, Kris Vanhecke, Luc Martens. [doi]
- A preliminary study on a recommender system for the job recommendation challengeMirko Polato, Fabio Aiolli. [doi]
- A bottom-up approach to job recommendation systemSonu K. Mishra, Manoj Reddy. [doi]
- Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016Wenming Xiao, Xiao Xu, Kang Liang, Junkang Mao, Jun Wang. [doi]
- Temporal learning and sequence modeling for a job recommender systemKuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan. [doi]
- Job recommendation based on factorization machine and topic modellingVasily A. Leksin, Andrey Ostapets. [doi]
- A combination of simple models by forward predictor selection for job recommendationDávid Zibriczky. [doi]