An intelligent house purchase assistant based on a dialogue robot

Abstract

A smart house-buying assistant based on a conversational robot. The invention discloses a multi-feature fusion unsupervised semantic matching algorithm model and an intelligent house-buying dialogue robot system based on the model. The multi-feature fusion unsupervised semantic matching algorithm model comprehensively considers the correlation and semantic correlation at the statistical level, calculates the similarity from both statistical and semantic perspectives, and finally improves the effect by fusion , which makes the similarity calculation results more accurate and reliable, and can quickly realize the recall and matching process of user questions and knowledge base questions. The intelligent house purchase dialogue robot system can realize question-and-answer interaction, abandons the existing search-type information acquisition method when purchasing a house, saves time, improves user experience, and can actively display supporting facilities around the real estate for users according to the semantics of user questions and answers and the future trend of housing prices, so that users can learn more about real estate 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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