A personalized hotel intelligent recommendation algorithm based on customer behavior habit preference

Abstract

The invention discloses a personalized hotel intelligent recommendation algorithm based on customer behavior habit preference, and relates to the technical field of hotel management. The algorithm comprises steps of determining a hotel recommendation index for the client; Constructing an algorithm input matrix according to the recommendation indexes; Acquiring data required by the recommendation index; Preprocessing the first four lines of data; Processing the pre-processed first four index data by using a pca algorithm to obtain corresponding characteristic values and characteristic vectors;Selecting a recommendation strategy according to the size of the characteristic value; Using quick sorting as a specific sorting method; Wherein the ranked distances or the pca scores correspond to which hotels in the original data are determined. The problem of personalized recommendation for customers is solved; And a fifth index 'spacing distance' is added to assist decision making under a special condition, so that an algorithm is closed.

Description

technical field [0001] The invention relates to the technical field of hotel management, in particular to a personalized hotel intelligent recommendation algorithm based on customer behavior habits and preferences. Background technique [0002] With the popularity of computer network technology and the rapid development of e-commerce, people have entered the era of information society and network economy, and e-commerce websites provide people with more and more choices. For customers, due to different factors such as personality hobbies, cultural level and economic conditions, different customers have different preferences for commodities. Online hotel ordering developed based on e-commerce has become the main way for people to book hotels. In the face of numerous merchants and a large number of hotels, it is often difficult for customers to find suitable hotels that meet their interests and preferences, and it is also difficult for merchants to make the hotels they provid...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to aim at the defects and deficiencies of the prior art, to provide a simple in structure, reasonable in design, easy to use personalized hotel intelligent recommendation algorithm based on customer behavior habit preference, to solve the problem of single measurement index; The problem of personalized recommendation; add the fifth index "distance" to assist decision-making in special cases, so that the algorithm is closed-loop

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