|
在LinkedIn上为活跃社区构建近线上下文建议
Building Nearline Contextual Recommendations for Active Communities on LinkedIn |
|
| |
| 课程网址: |
http://videolectures.net/kdd2018_raghavan_contextual_recommendati...
|
| 主讲教师: |
Hema Raghavan
|
| 开课单位: |
马萨诸塞大学阿默斯特分校
|
| 开课时间: |
2018-11-23
|
| 课程语种: |
英语
|
| 中文简介: |
在LinkedIn，我们的使命是使用人工智能连接全球劳动力的每一个成员，使他们更高效、更成功。社交网络是专业人士在其职业生涯的每个阶段相互接触的支柱。在本次演讲的前半部分，我将重点介绍我们为推动LinkedIn的“你可能认识的人”产品而开发的技术，这是将世界上的专业人士相互联系起来形成一个基本社区的主要驱动力。该平台允许实时进行三角形闭合和其他图行走算法。它还允许模型基于用户的上下文考虑接近实时的特性。我们将通过AB测试证明改进。然后，我们将继续讨论在预测两个成员之间形成边缘对生态系统整体活动的下游影响方面所做的工作。我们将展示一个成员的网络如何演变，在其下游参与中起着重要作用。最后，我们将介绍我们在基于活动的通知的近实时优化方面的工作，以确保我们的成员永远不会错过重要的对话。我们将通过实验证明，在正确的时间（通过优化传递时间和消息间隔）向正确的用户传递正确的信息（通过更好的内容定位）对于构建积极参与的社区至关重要。
|
| 课程简介: |
At LinkedIn our mission is to use AI to connect every member of the global workforce to make them more productive and successful. The social network is the backbone for professionals to engage with each other at every stage of their career. In the first half of this talk I will focus on technologies we have built to power LinkedIn’s “People You May Know” product, that is the primary driver to connect the world’s professionals to each other to form a basic community. The platform allows for triangle closing and other graph walk algorithms in real time. It also allows models to consider near real-time features based on a user’s context. We will demonstrate improvements through AB tests. We will then move on to discuss work done in predicting the downstream impact of forming an edge between two members on the overall activity of our ecosystem. We will show that how a member’s network evolves plays an important role in their downstream engagement. Finally, we will present our work on near real time optimization of activity-based notifications that ensure that our members never miss a conversation that matters. We will show through experiments that delivering the right information to the right user (through better content targeting) at the right time (through delivery time optimization and message spacing) is critical to building an actively engaged community.
|
| 关 键 词: |
人工智能连接全球劳动力; 生态系统整体活动; LinkedIn; 人工智能
|
| 课程来源: |
视频讲座网
|
| 数据采集: |
2023-02-03：cyh
|
| 最后编审: |
2023-02-03：cyh
|
| 阅读次数: |
23
|
|
图 书 馆