Title disambiguation in a social network taxonomy

A computer-implemented method, comprising:

• forming a deep representation data structure having first vectors representing titles from a social network data structure and second vectors representing skills from a social network data structure represented as coordinates in the deep representation data structure;
• applying one or more objective functions to at least one combination of first vectors and second vectors in the deep representation data structure, causing an objective function output for each of the at least one combination;
• clustering one or more coordinates for the vectors in the at least one combination into occupation clusters, wherein each coordinate in each of the occupation clusters shares an occupation;
• identifying a cluster representative for each of the occupation clusters;
• identifying a first role for a first member profile;
• identifying one or more skills for the first member profile;
• removing from the one or more skills any skills corresponding to the first role;
• identifying a cluster representative having a set of skills that most closely matches the one or more skills after the removing;
• determining a specialty for the cluster representative;
• and
• determining, from the first role and from the specialty for the cluster representative, an occupation corresponding to the first member profile.

A non-transitory machine-readable storage medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform operations comprising:

• forming a deep representation data structure having first vectors representing titles from a social network data structure and second vectors representing skills from a social network data structure represented as coordinates in the deep representation data structure;
• applying one or more objective functions to at least one combination of first vectors and second vectors in the deep representation data structure, causing an objective function output for each of the at least one combination;
• clustering one or more coordinates for the vectors in the combination into occupation clusters, wherein each coordinate in each of the occupation clusters shares an occupation;
• identifying a cluster representative for each of the occupation clusters;
• identifying a first role for a first member profile;
• identifying one or more skills for the first member profile;
• removing from the one or more skills any skills corresponding to the first role;
• identifying a cluster representative having a set of skills that most closely matches the one or more skills after the removing;
• determining a specialty for the cluster representative;
• and
• determining, from the first role and from the specialty for the cluster representative, an occupation corresponding to the first member profile.