House resource recommendation method and house resource recommendation system

Abstract

The invention discloses a housing resource recommendation method. The recommendation method comprises the steps of obtaining housing resource information and behavior information of a user; generatinguser preference information based on the house resource information and the behavior information; obtaining a first preset algorithm and preset matrix information, and processing the first preset algorithm based on the user preference information and the preset matrix information to obtain a processed algorithm; obtaining similar house resource information based on the processed algorithm; and screening the similar house resource information to obtain corresponding recommended house resource information. The invention further discloses a house resource recommendation system. The traditional recommendation method is improved, and the house resource information most matched with the actual demand of the user is recommended to the user in combination with the personalized demand of the user,so that the personalized demand of the user is met, the recommendation accuracy is improved, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of house source information processing, in particular to a house source recommendation method and a house source recommendation system. Background technique [0002] With the continuous development of the city scale, the demand for finding, renting, and using houses in the city is increasing. In order to provide better services to users, the housing management intermediary provides users with a housing recommendation system to assist users in housing s Choice. [0003] In the prior art, the house source recommendation system analyzes the user's preference by adopting methods such as model-based collaborative filtering algorithm, and generates a corresponding recommendation model according to the user's preference. Through the recommendation model, the house source recommendation system can be based on The user's preferences are used to recommend house listings for the user. Among them, the model cor...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the technical problem that the recommendation results of the house source recommendation method in the prior art have large deviations and cannot meet the user's needs for personalization and accuracy of the recommendation results, the embodiment of the present invention provides a house source recommendation method and a house source The recommendation system, by improving the traditional recommendation method, recommends to the user the housing information that best matches the user's actual needs in combination with the user's individual needs, thereby meeting the user's individual needs, improving the accuracy of the recommendation, and improving user experience

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