In 2014 Linkedin acquired Bright.com, for $120 million and it is using AI and big data algorithms to connect users.
Bright also throws in a little Klout, ranking people by a “Bright score” which it uses to assess how strong the chemistry is between a user and a particular job.
It also takes into account historical hiring patterns into its matching, along with account location, a user’s past experience and synonyms.
In brief, is it known (based on some research papers) how such algorithm works which aiming at scoring 'chemistry' between users and their jobs?