Real estate intelligent recommendation method and system

Abstract

The invention relates to the technical field of big data, in particular to a real estate intelligent recommendation method and system, and the method comprises the following steps: 1) building information preprocessing: collecting multi-dimensional building information, extracting building features, carrying out the quantification and normalization processing of each building feature, converting the features into building feature vectors, calculating the similarity between buildings, and carrying out the building information preprocessing; carrying out association; 2) recommendation mode switching: receiving a user access request in real time, judging whether the user is a new user, and switching to a cold start recommendation mode or a personalized recommendation mode; 3) executing a cold start recommendation mode; and 4) executing the personalized recommendation mode. The system comprises a building information preprocessing module, a recommendation mode switching module, a cold start recommendation mode execution module, a personalized recommendation mode execution module and a data storage module, wherein the building information preprocessing module comprises an information acquisition module, a feature extraction module, a vectorization module and a similarity calculation module.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a real estate intelligent recommendation method and system. Background technique [0002] At present, there are a large number of real estate-related APP products on the market, and each APP product has a large amount of real estate information content to provide more real estate services for home buyers. [0003] With the development of the real estate business and the accumulation of data, as well as the increasing number of real estate project developments, a large number of real estate-related APP products have appeared on the market, and each APP product contains a large amount of real estate information to provide more real estate buyers. real estate services. However, with the substantial increase in real estate information contained in such APP products for real estate sales services and the continuous growth of home buyers and users, the amount of information has incre...

AI Technical Summary

Problems solved by technology

[0005] 2. A large number of high-quality housing sources cannot be displayed to target buyers due to limited exposure positions, resulting in inability to effectively expose and convert

Although these two solutions are relatively simple in terms of processing methods and processes, they have not achieved better business results. The main reason is that the decision-making factors of home buyers are not a single dimension, but mor

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