Systems, methods, and computer program products for expediting expertise

摘要

A system including a global topic model building module that builds a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison.

主权项

1. A system, comprising:
a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users; a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users; and a processor of a computer that executes instructions for:
comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic, the comparing being performed by the processor on the computer;recommending an activity including at least one of reading, writing, downloading, watching, and commenting of a content item relevant to the topic to the first user based on said comparing;updating the topic-specific user knowledge model of the first user to reflect the first user's increased level of knowledge after the first user engages in the recommended activity for the topic; andadjusting the activity recommendation based on the updated topic-specific user knowledge model.