A Ranker Ensemble for Multi-objective Job Recommendation in an Item Cold Start Setting-Reference-Cited by-同舟云学术

A Ranker Ensemble for Multi-objective Job Recommendation in an Item Cold Start Setting

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Recommender Systems Challenge 2017 on ZZZ - RecSys Challenge '17
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Author:

Yagci Murat¹,Gurgen Fikret¹

Affiliation:

1. Bogazici University

Publisher

ACM Press

Reference6 articles.

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3. L. Li and T. Li. 2012. MEET: A Generalized Framework for Reciprocal Recommender Systems. In Proceedings of 21st ACM International Conference on Information and Knowledge Management (CIKM '12). 35--44.

4. A. Pacuk, P. Sankowski, K. Węgrzycki, A. Witkowski, and P. Wygocki. 2016. RecSys Challenge 2016: Job Recommendations Based on Preselection of Offers and Gradient Boosting. In Proceedings of ACM Recsys '16 Challenge. 10:1--10:4.

5. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12 (2011), 2825--2830.

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