The invention provides a household service platform matching method and
system, and relates to the technical field of household service recommendation, and the method comprises the steps: obtaining a real-time demand text of a target user, extracting a keyword, and generating a demand vector, obtaining skill data, historical service data and user evaluation of a
server at the same time, and generating a capability vector based on the skill data, the historical service data and the user evaluation; inputting the two into a pre-training matching model to obtain a matching degree
score, and recommending a
server according to the matching degree
score; and after the order is completed, adjusting parameters of the matching model by using an
incremental learning algorithm according to
evaluation data of the target user to the
server. The reliability of the recommendation result can be improved.