利用人机交互机器学习进行时尚推荐][Making fashion recommendations with human-in-the-loop machine learning]

利用人机交互机器学习进行时尚推荐 Making fashion recommendations with human-in-the-loop machine learning


课程网址:	https://videolectures.net/videos/kdd2016_klingenberg_machine_lear...
主讲教师:	Brad Klingenberg
开课单位:	KDD 2016研讨会
开课时间:	2016-10-12
课程语种:	英语
中文简介:	大多数推荐算法在没有人为干预的情况下产生结果。特别是在时尚等难以量化的领域，将算法与专家人工策划相结合可以使推荐更有效。但它也会使训练和评估算法的传统方法复杂化。在本次演讲中，我将分享在Stitch Fix与人类进行个性化时尚推荐的经验教训，我们通过向客户实际交付商品来承诺我们的推荐。
课程简介:	Most recommendation algorithms produce results without human intervention. Especially in hard-to-quantify domains like fashion combining algorithms with expert human curation can make recommendations more effective. But it can also complicate traditional approaches to training and evaluating algorithms. In this talk I will share lessons from making personalized fashion recommendations with humans in the loop at Stitch Fix, where we commit to our recommendations through the physical delivery of merchandise to clients.
关键词:	人机交互; 机器学习; 时尚推荐
课程来源:	视频讲座网
数据采集:	2025-01-08：liyq
最后编审:	2025-01-08：liyq
阅读次数:	10

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