A method and apparatus for recommend tourist attractions

Abstract

The invention discloses a method and a device for recommending tourist attractions, which relate to the technical field of recommendation. The method and the device are used to solve tourist attraction recommendation problems. The method comprises: a set of attraction images acquired in the attraction is determined as a target domain image, the style image set obtained from the Internet search engine by using the feature style keywords of the scenic spots is taken as the auxiliary domain image, The distribution difference between the target domain image and the auxiliary domain image is expressed by the maximum mean difference, and the objective function of the optimal image classification is determined according to the maximum mean difference function and Laplace support vector machine, and the image style of the scenic spots is obtained. According to the style proportion of all the images, if the style proportion exceeds the threshold, it is determined to contain the style of the scenic spots; The user preference model is established according to the model based on explicit interaction determination and the model based on implicit mining determination. User preference models andattraction styles determine the list of tourist attraction recommendations through the cosine distance formula.

Description

technical field [0001] The present invention relates to the technical field of recommendation, and in particular to a method and device for recommending tourist attractions. Background technique [0002] With the improvement of the living standards of ordinary people, the willingness to travel continues to increase. With the rapid development of Internet technology and social media, the increasingly generated tourist information is also increasing. It is difficult for users to quickly find the tourist information they need from massive data, especially At present, there is no very good way to intelligently implement a personalized recommendation system for tourist attraction styles based on visual preference modeling for users in the preference-style scenic spot recommendation. [0003] The current travel recommendation methods include collaborative filtering recommendation and content-based recommendation methods. Based on statistical data, most people travel once or twice...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a method and device for recommending tourist attractions, which is used to solve the problem that most of the existing scenic spot recommendations use collaborative filtering methods, but there is a large sparsity in tourist data, which affects the recommendation effect

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