An intelligent house purchasing assistant based on dialogue robot

Abstract

An intelligent house purchasing assistant based on a dialogue robot is provided. The invention discloses a multi-feature fusion unsupervised semantic matching algorithm model and an intelligent housepurchase dialogue robot system based on the model. The multi-feature fusion unsupervised semantic matching algorithm model considers the relevance and semantic relevance of statistical information, and the similarity calculation is carried out from both the statistical and semantic perspective. Finally, the similarity calculation results are more accurate and reliable, and the recall and matchingprocess of user problems and knowledge base problems can be quickly realized by using the fusion method to further improve the effect. The intelligent house purchasing dialogue robot system can realize the question-answer interaction, discard the existing house purchasing information acquisition mode of searching, save time, improve the user experience, and actively display the supporting facilities around the house property and the future trend of the house price for the user according to the user question-answer semantics, so that the user can further understand the house property information.

Description

technical field [0001] The invention relates to the fields of natural language processing technology and information search, in particular to a multi-feature fusion unsupervised semantic matching algorithm model and a dialogue robot system for intelligent house purchase based on the model. Background technique [0002] In today's era of rapid development of information technology, with the popularization of smart phones and the acceleration of mobile networks, users can perform entertainment, shopping and reading on the Internet anytime, anywhere. The number of users of companies that provide various services has grown rapidly, and the subsequent product experience feedback and consultation are very heavy. While bringing the company an increase in the cost of manual customer service, it also brings many challenges to manual customer service. Therefore, intelligent dialogue robots came into being. Compared with manual customer service, intelligent dialogue robots respond quic...

AI Technical Summary

Problems solved by technology

Under this business scenario, some traditional real estate information companies need to set up corresponding offline consulting stores in different cities and train corresponding real estate consultants, which requires a lot of capital expenditure and time expenditure, and the liquidity of real estate consultants is very high. Large, there may be scenarios where you leave or change jobs just after training, which causes a waste of funds and time

For online scenarios, currently home buyers can only search for real estate information on the Internet. The search method is very dependent on the search keywords entered by the user. Sometimes the user cannot clearly express the questions he wants to consult through limited words. , causing users to be unable to get the answers they want from the Internet. In addition, due to the market competition of various real estate companies and the dominant search ranking of search engine companies, when users search, the links that may appear at the top of the list are advertising promotions of real estate companies. , such results may be misleading to users

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