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.

Abstract: A system and method are provided for recommending courses to members of a social networking system. The social networking system stores a plurality of member profiles associated with a plurality of members of the social networking system, wherein each member profile includes one or more skills associated with the member. Then, for a respective first member in the plurality of members, the social networking system determines one or more suggested skills for the respective first member based on the one or more skills stored in the respective first member's profile. The social networking system then selects one or more educational courses from a plurality of available educational courses based on the determined suggested skills and transmits the one or more selected educational courses to an electronic device associated with the member for display.

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.