1. A system for recommending keywords, comprising: one or more processors configured to: receive a set of product information including a product title; extract and parse the product title into a set of parsed elements; find a plurality of candidate keywords corresponding to at least a subset of the set of parsed elements based at least in part on stored predetermined mappings between parsed data and keywords; determine a plurality of composite correlation scores for corresponding ones of the plurality of candidate keywords, wherein to determine the plurality of composite correlation scores includes to determine a first composite correlation score associated with a first candidate keyword of the plurality of candidate keywords, wherein to determine the first composite correlation score associated with the first candidate keyword includes to determine an industry index value associated with the first candidate keyword, including to: determine a first similarity value between one or more industries associated with the first candidate keyword and one or more industries associated with sets of product information that are relevant to the first candidate keyword; determine a second similarity value between the one or more industries associated with the first candidate keyword and one or more industries of one or more seller users associated with the sets of product information that are relevant to the first candidate keyword; and determine the industry index value associated with the first candidate keyword based at least in part on a combination of the first similarity value and the second similarity value; and sort at least a subset of the plurality of candidate keywords into a ranked list based on at least a subset of the plurality of composite correlation scores; and select a set of one or more keywords to recommend from the plurality of candidate keywords based at least in part on the ranked list; and one or more memories coupled to the one or more processors and configured to provide the one or more processors with instructions.
1. A system for recommending keywords, comprising: one or more processors configured to: receive a set of product information including a product title; extract and parse the product title into a set of parsed elements; find a plurality of candidate keywords corresponding to at least a subset of the set of parsed elements based at least in part on stored predetermined mappings between parsed data and keywords; determine a plurality of composite correlation scores for corresponding ones of the plurality of candidate keywords, wherein to determine the plurality of composite correlation scores includes to determine a first composite correlation score associated with a first candidate keyword of the plurality of candidate keywords, wherein to determine the first composite correlation score associated with the first candidate keyword includes to determine an industry index value associated with the first candidate keyword, including to: determine a first similarity value between one or more industries associated with the first candidate keyword and one or more industries associated with sets of product information that are relevant to the first candidate keyword; determine a second similarity value between the one or more industries associated with the first candidate keyword and one or more industries of one or more seller users associated with the sets of product information that are relevant to the first candidate keyword; and determine the industry index value associated with the first candidate keyword based at least in part on a combination of the first similarity value and the second similarity value; and sort at least a subset of the plurality of candidate keywords into a ranked list based on at least a subset of the plurality of composite correlation scores; and select a set of one or more keywords to recommend from the plurality of candidate keywords based at least in part on the ranked list; and one or more memories coupled to the one or more processors and configured to provide the one or more processors with instructions. 7. The system of claim 1 , wherein to determine the plurality of composite correlation scores includes to determine the first composite correlation score associated with the first candidate keyword based at least on a combination of a text-based correlation value between the first candidate keyword and a corresponding parsed element from the set of parsed elements, a Gini index value associated with the first candidate keyword, a supply and demand index value associated with the first candidate keyword, and the industry index value associated with the first candidate keyword.