Microsoft recommenders: tools to accelerate developing recommender systems

Scott Graham, Jun-Ki Min, Tao Wu
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引用次数: 11

Abstract

The purpose of this demonstration is to highlight the content of the Microsoft Recommenders repository and show how it can be used to reduce the time involved in developing recommender systems. The open source repository provides python utilities to simplify common recommender-related data science work as well as example Jupyter notebooks that demonstrate use of the algorithms and tools under various environments.
微软推荐器:加速开发推荐系统的工具
本演示的目的是强调Microsoft推荐人存储库的内容,并展示如何使用它来减少开发推荐系统所涉及的时间。开源存储库提供了python实用程序来简化与推荐相关的常见数据科学工作,还提供了示例Jupyter笔记本,演示了在各种环境下算法和工具的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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