Document ranking by contextual vectors from natural language query

摘要

A set of keywords is extracted from a query. Natural Language Processing (NLP) is performed on the query to extract a set of contextual words for a keyword from the query. For the query, a first score of a first vector is computed, where the first vector represents a first contextual word. For a first result in a result set, a first result score of a first result vector is computed, where the first vector represents a first result contextual word in a set of result contextual words corresponding to the keyword in the first result. Using the first score and the first result score, a first similarity value is computed for the first result. The first result is re-ranked relative to a second result according to the first similarity value for the first result and a second similarity value for the second result in the result set.