RecBoard: A Web-based Platform for Recommendation System Research and Development
RecBoard: A Web-based Platform for Recommendation System Research and Development
复制标题
DOI：
10.1145/3308558.3314133
复制
发表时间：
2019-05
期刊：
影响因子：
--
通讯作者：
M. Chawla;Kriti Singh;Longqi Yang;D. Estrin
中科院分区：
文献类型：
--
作者：
M. Chawla;Kriti Singh;Longqi Yang;D. Estrin
本文介绍了RecBoard，一个统一的基于Web的平台，便于研究人员和从业人员培训，测试，部署和监控推荐系统。RecBoard通过提供协作用户界面来简化构建推荐系统的端到端过程，该界面可自动执行与数据集管理、模型训练、可视化、部署和监控相关的重复性任务。我们的演示原型展示了RecBoard如何为研发中的常见任务提供支持。RecBoard将开放源代码，并在发布时公开提供。
This paper introduces RecBoard, a unified web-based platform that facilitates researchers and practitioners to train, test, deploy, and monitor recommendation systems. RecBoard streamlines the end-to-end process of building recommendation systems by providing a collaborative user interface that automates repetitive tasks related to dataset management, model training, visualization, deployments, and monitoring. Our demo prototype demonstrates how RecBoard can empower common tasks in research and development. RecBoard will be open-sourced and publicly available upon publication.