Member communication reply score calculation

摘要

In an example embodiment, a supervised machine learning algorithm is used to train a communication reply score model based on an extracted first set of features and second set of features from social networking service member profiles and activity and usage information. When a plurality of member search results is to be displayed, for the member identified in each of the plurality of member search results, the member profile corresponding to the member is parsed to extract a third set of one or more features from the member profile, activity and usage information pertaining to actions taken by the members on the social networking service is parsed to extract a fourth set of one or more features, and the extracted third set of features and fourth set of features is inputted into the communication reply score model to generate a communication reply score, which is displayed visually to a searcher.

主权项

1. A computer-implemented method for providing an indication of a probability that a member of a social networking service will respond to an electronic communication sent via the social networking service, the method comprising:
retrieving a plurality of sample member profiles of members of the social networking service, a plurality of sample member labels, and activity and usage information pertaining to actions taken by those members on the social networking service; for each sample member profile:
parsing the sample member profile to extract a first set of one or more features from the sample member profile and parsing the activity and usage information pertaining to actions taken by those members on the social networking service to extract a second set of one or more features;feeding the sample member labels, extracted first set of features and second set of features into a supervised machine learning algorithm to train a communication reply score model based on the extracted first set of features and the second set of features; obtaining a plurality of member search results produced by actions performed in a user interface, each member search result identifying a member of the social networking service; for the member identified in each of the plurality of member search results:
parsing a member profile corresponding to the member to extract a third set of one or more features from the member profile and parsing activity and usage information pertaining to actions taken by the members on the social networking service to extract a fourth set of one or more features;inputting the extracted third set of features and fourth set of features into the communication reply score model to generate a communication reply score reflecting a probability that the member will respond to an email communication from a searcher; and presenting the member search results visually in the user interface, with each member search result being presented with a visual indication of the corresponding member's communication reply score.