基于协同过滤的景区旅游智能推荐系统设计

Design of tourism attraction intelligent recommendation system based on collaborative filtering

针对采用传统推荐系统存在数据计算误差大、推荐效果差的问题,提出基于协同过滤的景区旅游智能推荐系统设计。利用景区旅游资源,使用个性化信息服务有效手段,设计系统整体结构框图。按照整体架构,将硬件部分设计为七个不同层次,其中收集层是整个系统硬件结构设计中最为重要的部分,可准确收集数据,并反馈到其他结构中。采用协同过滤算法实现软件功能设计。由实验结果可知,该智能推荐系统数据计算误差小、推荐效果良好。

Since the traditional recommendation system has the problems of large data calculation error and poor recommendation effect,a tourism attraction intelligent recommendation system based on collaborative filtering is proposed.The resources of tourism attraction and effective means of personalized information service are used to design the overall structure diagram of the system.In accordance with the overall structure,the design of system hardware is divided into seven different levels.As the most important part of the overall system hardware structure,the collection layer can accurately collect the data,and feed the data back to other structures.The collaborative filtering algorithm is used to realize the software function design.The experimental results show that the intelligent recommendation system has small data calculation error,and perfect recommendation effect.