Rural tourism description system based on multi-source heterogeneous big data

Abstract

The invention provides a rural tourism description system based on multi-source heterogeneous big data, and relates to the field of rural tourism informatization. According to the invention, one-stop service of scenic spot retrieval, scenic spot selection, route customization and scenic spot recommendation of a rural tourism plan is realized through the rural tourism front-end description system, and a tedious information collection process during tourism plan making is avoided; wherein the rural element screening system is mainly used for enabling a user to quickly set screening elements to obtain a rural scenic spot screening result; the tourism portrait recommendation system can perform scenic spot recommendation in various modes according to the user portrait and the scenic spot portrait, so that the diversity and personalized recommendation of a recommendation list are increased; the visual rural map system can display various routes of rural tourism and display the relevant information of the scenic spots at the corresponding positions of the map, so that a user can make a tourism plan and a tourism route conveniently.

Description

technical field [0001] The invention relates to the field of rural tourism informatization, in particular to a rural tourism characterization system based on multi-source heterogeneous big data. Background technique [0002] The countryside is a regional complex with natural, social, and economic characteristics, and has multiple functions such as production, life, ecology, and culture. The prosperity of the countryside leads to the prosperity of the country, and the decline of the countryside leads to the decline of the country. The current level of rural tourism informatization is low, and it is difficult for rural tourism to achieve the strategic goal of "going out". [0003] At this stage, the Internet is the main way to obtain information in the new era, but the network information is complex and disorderly, and it is difficult for people to directly obtain the information they want. Difficulty in formulating tourist routes, difficulties in choosing tourist destinatio...

AI Technical Summary

Problems solved by technology

[0005] However, the application is only a recommendation list obtained through a single calculation of the recommendation list of rural tourism products and the similarity information between the rural tourism products in the recommendation list. This recommendation method has strong limitations and the recommendation type is homogeneous. In addition, the application still has the problem of difficulty in screening travel information

Images