House viewing schedule arrangement method and device based on natural language processing technology

Abstract

The embodiment of the invention provides a house viewing schedule arrangement method and device based on a natural language processing technology. The method comprises: receiving request information which is inputted by a user terminal and is described by a natural language, and judging the type of the request information; if it is known that the request information is offline to-be-viewed requestinformation, carrying out field identification, and extracting identified house viewing information fields including house viewing time and meeting places; matching agents whose house checking time is in an idle state according to the house checking time; and generating house viewing schedule arrangement information according to the house viewing time, the meeting place and the broker information, and feeding back the house viewing schedule arrangement information to the user terminal. According to the house viewing schedule arrangement method and device based on the natural language processing technology, automatic offline house viewing schedule arrangement is achieved, the communication efficiency of brokers and users is improved, the operation pressure of the brokers is relieved, and better house finding experience is provided for the users.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of natural language processing, and in particular to a method and device for arranging a viewing schedule based on natural language processing technology. Background technique [0002] With the continuous development of computer technology in the information age, people's access to information has become more convenient, which has spawned a large number of intermediary products for online housing search. The online housing search modes of these apps are similar. Users can search through keywords or filter conditions on the homepage to delineate a series of housing sources, and then click to enter the details page of each housing source to see detailed information about the housing source. Such as price, area, orientation, neighborhood and so on. There is a corresponding agent’s contact information under each listing. Users can consult the agent for any questions about the listing, ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of low efficiency and strong manual dependence of the existing house inspection itinerary arrangement, the em...

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