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Spark-based tour interest recommendation system and recommendation method

A technology of interest recommendation and recommendation method, applied in the field of travel interest recommendation system, which can solve the problems of insufficient storage space scalability and low computing efficiency.

Inactive Publication Date: 2017-11-17
XIAN UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a travel interest recommendation system based on Spark, which solves the problems of low analysis and calculation efficiency and insufficient storage space scalability of existing recommendation algorithms

Method used

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  • Spark-based tour interest recommendation system and recommendation method
  • Spark-based tour interest recommendation system and recommendation method

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Embodiment Construction

[0078] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0079] A spark-based travel interest recommendation system of the present invention is a medium for contacting tourists and college student tour guides. By collecting static data—tourist description information and college student description information, and dynamic data—tourist rating records, the recommendation system can be based on different Situation, recommend to tourists the college student guides they are interested in, and display them on the map in an intuitive way for tourists to filter. In this system, a hybrid model of multiple recommendation engines is used, namely content-based recommendation, demographics-based recommendation, and SVD-based recommendation. Each recommendation engine is processed in parallel to obtain recommendation results to ensure the realization of a variety of recommendation systems. sex, novelty.

[008...

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Abstract

The invention discloses a Spark-based tour interest recommendation system. The system includes: a data warehouse module, which is used for storing data; a data collection module, which stores the collected data into the data warehouse module; a recommendation engine group module, which extracts the data from the data warehouse module; a result processing module, which unifies results, which are output by the recommendation engine group module, according to weights; an evaluation module, which evaluates each engine of the recommendation engine group module for accuracy and diversity; an engine management module, which dynamically adds or deletes the recommendation engines according to results of the evaluation module, and determining the weight of each engine; and a user feedback processing module, which collects user feedback data of a user interaction interface. The invention also discloses a recommendation method of the above-mentioned recommendation system. Problems that existing recommendation algorithms are low in analysis and calculation efficiency and insufficient in storage space expansibility are solved.

Description

technical field [0001] The invention belongs to the technical field of tourism, and in particular relates to a Spark-based tourism interest recommendation system, and also relates to a method for using the above-mentioned recommendation system for recommendation. Background technique [0002] At present, with the improvement of living standards, people pay more attention to spiritual needs on the basis of satisfying material needs. However, the commercialization of tourist attractions and the problems of compulsory consumption and no free time activities in tour groups and group tours make consumption Visitors cannot enjoy the beauty of architecture, culture, and catering in the local culture. Moreover, the current tourism consumption system ignores the role of local college students as tour guides. Through the private customized travel system, it is beneficial for local college students to solve the problem of living sources through part-time tour guides, and it is conduciv...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2465G06F16/9535
Inventor 缪亚林赵立怡
Owner XIAN UNIV OF TECH
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