基于马氏距离及最差理想解的TOPSIS出租房源推荐系统应用研究

Application research of the rental housing recommendation system of improved TOPSIS

通过对综合排序方法 TOPSIS法的研究,实现了一个将马氏距离及最差理想解相结合改进TOPSIS法的出租房源推荐系统,该系统通过分布式爬虫模块抓取各大租房网站的出租房源信息,存入MongoDB数据库中,利用Spring boot框架读取MongoDB中的出租房源数据,调用将马氏距离和最差理想解相结合改进的TOPSIS法对出租房源数据进行综合评价,评价过程依据出租房源数据的面积、租金、通过经纬度求得的距离属性和输入的目标地点进行计算和决策.此后,将评价的最终结果以排序分组的形式显示在高德地图图标上,租房者点击图标会显示该出租房源的具体数据信息,输入的目地点后会出现相应距离和乘车路线及时长.点击图标上方的具体房源信息,则会跳转到相应租房网站.该系统满足了侧重点不同的租房群体查找出租房源信息的需求,具有很高的实用价值.

A rental housing recommendation system of improved TOPSIS method of integrating Markov distance and the worst ideal solution is realized,The system uses the distributed crawler system module to capture the rental listings of the rental websites.The information is stored in the MongoDB database,the Spring boot framework is used to read the rental listing data in MongoDB,and the improved TOPSIS method is called to evaluate the rental housing data comprehensively by the area,rent,distance and destination location of the rental housing data.then the final result of the evaluation is displayed on the map icon,when the renter clicks the icon.The specific information of the rental availability will be show.Click on the specific rental information above the icon,the system will jump to the corresponding rental site.The system greatly meets the needs of renting information for rental groups with different emphases,and has high practical value.