Systems and methods for email response prediction

US9344297B2 · kind B2 · utility

Assignee

• LinkedIn Corporation · US

Inventors

• Samir M. Shah · San Francisco, US
• Utku Irmak · San Francisco, US
• Ferris Jumah · San Francisco, US
• Benjamin Arai · San Jose, US

Key dates

• Filing date: Jan 30, 2014
• Grant date: May 17, 2016
• Expiry date: Nov 22, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Techniques for predicting a user response to the e-mail content are described. According to various embodiments, member email interaction data associated with a particular member and email content data describing a particular email content item is accessed. The data is then encoded into one or more feature vectors and assembled to thereby generate an assembled feature vector. Thereafter, a prediction modeling process is performed, based on the assembled feature vector and a trained prediction model, to predict a likelihood of the particular member performing a particular user action on the particular email content item.