Microsoft Technology Licensing, LLC

Yiran Pang

Yi Zhang

Yue Li

Onkar Anant Dalal

Vibhu Prakash Saxena

Ming Chen

Kuo-Ning Huang

Divyakumar Menghani

Ruslan Zagatskiy

Shuo Miao

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a Potential Consumer Engine identifies profile data of a target member account accessible in a social network service during a period of time equal in length to a pre-submission time period. The Potential Consumer Engine identifies channel data and assembles feature vector data for the target member account. The Potential Consumer Engine inputs into generalized linear mix model the feature vector data. The Potential Consumer Engine receives predictive output from the generalized linear mix model. The predictive output indicative of a current probability of the target member account joining the freelancer marketplace.

Identifying potential consumers for service provider marketplace

Techniques for searching for generating and using an online activity index for users of an online service are disclosed herein. In some example embodiments, for each one of a plurality of dimensions of online activity for an online service, the system determines a corresponding value for each one of a set of one or more activities corresponding to the dimension for a user of the online service, with the value representing a level of engagement by the user in the corresponding activity via the online service. The system generates a corresponding activity index for each one of the dimensions based on the corresponding value for each one of the set of one or more activities corresponding to the dimension. The system generates content based on the corresponding activity index of at least one of the dimensions, and causes the content to be displayed on a device associated with the user.

Online activity index

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Yiran Pang