@inproceedings{dfe01e1f13a74f7a83f0f421a97ec80c,
title = "Sage: Recommender engine as a cloud service",
abstract = "Project Sage is Microsoft's all-purpose recommender system, designed and deployed as an ultra-high scale cloud service. Sage focuses on both state of the art research and high scale robust implementation. In the research front, we demonstrate new pre-processing and cleaning techniques, a novel probabilistic matrix factorization model for implicit one-class data, and a relatively new evaluation framework. In the engineering front, we present a working service deployed on the Microsoft Azure cloud, which provides easy-to-use interfaces to integrate a recommendation service into any website.",
keywords = "Cloud services, Recommender systems",
author = "Royi Ronen and Noam Koenigstein and Elad Ziklik and Mikael Sitruk and Ronen Yaari and Neta Haiby-Weiss",
year = "2013",
doi = "https://doi.org/10.1145/2507157.2508221",
language = "الإنجليزيّة",
isbn = "9781450324090",
series = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
pages = "475--476",
booktitle = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
note = "7th ACM Conference on Recommender Systems, RecSys 2013 ; Conference date: 12-10-2013 Through 16-10-2013",
}