Research On Construction Method And Technology Of Demand And Supply Matching Platform

With the rapid development of information industry represented by the Internet,there are a lot of matches between service demand and service supply on the Internet platform,such as the matching of resume and position on the talent service platform,and the matching of investment and financing on the investment and financing service platform.The traditional matching method literally matches service demand and service supply,which can not go deep into the semantic level.Therefore,a matching platform between service demand and service supply is constructed.Firstly,the matching platform of service demand and service supply is introduced,and the problem that traditional matching platform can not go deep into the semantic level in the process of matching service demand and service supply is analyzed.Therefore,semantic matching is introduced,which combines traditional matching methods with semantic matching.This paper summarizes the existing methods and problems of semantic similarity calculation,and studies the use of word vector model to calculate semantic similarity.At the same time,it studies the relevant algorithms and related technologies used in the process of achieving semantic matching.Secondly,a matching platform model of service demand and service supply is designed.The hierarchical structure model of matching platform model is described in detail.The matching process of service demand and service supply is introduced in detail.The matching formula of matching service demand and service supply is given.The method of customizing matching rules is proposed.The Jaccard similarity calculation algorithm based on word vector is applied.In line semantic matching,a new word discovery algorithm based on mutual information and adjacency entropy is applied to solve the problem of unlisted domain words in semantic matching of matching platform.Thirdly,combined with the hierarchical model on the matching platform,the implementation technologies of semantic matching layer,business logic layer and data access layer are studied.The self-defined matching rules in business logic layer and matching service demand and service supply are realized.The comparison and concrete implementation of new words discovery algorithm in semantic matching layer are given,and the comparison and concrete implementation of semantic matching algorithm are given.Finally,the matching platform of service demand and service supply is designed and applied to the financial service field,and the financial service platform is realized.The accuracy of the matching model is verified by the data on the financial service platform.The experiment proves that the matching method on the matching platform of service demand and service supply is feasible and effective.