The invention relates to the field of e-commerce, and discloses a method of intention entity recognition based on a user
query log. The method comprises steps: an original log is analyzed and extracted, and a session query set, a common click query set and a common query commodity set are formed; through
processing, mutual disjoint subsets (I, Q) are obtained, a
bipartite graph is built through a click relation, and word clustering is carried out; according to a word clustering result, segment
processing is carried out on each query word, and multiple segments are obtained; and weight calculation is carried out on the segments, weight scores of the segments are further obtained, and a segment with the highest
score serves as the corresponding entity of the query word. Through analyzing the original log, the query word is subjected to word clustering and
weight analysis, intention entity recognition is realized, a context and a
semantic context are blended, the query accuracy is improved, better intention recognition effects are achieved, and the online calculation overhead is saved.