The invention discloses a personalized position recommendation method based on a
knowledge graph. The method includes: acquiring job recruitment
field data, acquiring the resume information of a job seeker, and normalizing the job recruitment
field data; performing
knowledge extraction and fusion to form structured job recruitment field knowledge; saving the acquired structured job recruitment field knowledge into a
graph database to build the job recruitment field
knowledge graph; building a personalized position
recommendation model based on the
knowledge graph; reading the resume information of the job seeker, and mapping some attributes in the resume information according to the knowledge graph; according to the knowledge graph, using the position
recommendation model to filter positions according to industry categories to form a to-be-recommended position
list; quantifying corresponding attributes in the resume information and position information according to the to-be-recommended position
list; calculating the similarity of the resume information and the position information, screening top N positions with the highest similarity to the resume of the job seeker to generate arecommendation
list, and transmitting the recommendation list to the job seeker.