Metadata refinement using behavioral patterns

A system comprising:

• a machine having a memory and at least one processor;
• and
• a metadata refinement module, executable by the at least one processor, configured to:
• receive user behavioral data for results of a search query, the results including an untagged item and a plurality of tagged items;
• determine that the tagged items have been assigned a first type of metadata not assigned to the untagged item;
• and
• identify the untagged item as a candidate to be tagged with the first type of metadata assigned to the tagged items based on the user behavioral data.

A non-transitory machine-readable storage device storing a set of instructions that, when executed by at least one processor, causes the at least one processor to perform a set of operations comprising:

• receiving user behavioral data for results of a search query, the results including an untagged item and a plurality of tagged items;
• determining that the tagged items have been assigned a first type of metadata not assigned to the untagged item;
• and
• identifying the untagged item as a candidate to be tagged with the first type of metadata assigned to the tagged items based on the user behavioral data.