The Relevance of Data: Going Behind The Scenes at LinkedIn Authors
LinkedIn相关性科学总监Deepak Agarwal解释公司如何利用数据和算法预测用户行为、优化推荐，以支撑其作为全球最大职业社交网络的持续增长。
It is an understatement to say LinkedIn is growing like a weed. With 238 million members in over 200 countries, 2.8 million active company profiles, and 1 million professionally oriented groups, LinkedIn has become the worlds largest professional networking site. Deepak Agarwal, LinkedIns director of relevance science, explains how his company uses data and analytics to sustain this growth. At the heart of extracting signal from data and providing great recommendations on different LinkedIn pages is the ability to predict user response to different items. This is where sophisticated algorithms and software engineering to deploy such algorithms become germane. In addition, connecting metrics that machines can readily optimize to the overall business goals is also a challenging aspect we continuously work on at LinkedIn.