Application research of the rental housing recommendation system of improved TOPSIS
DENG Lujuan1， CHEN Xinxin2， LI Pu1， LI Jinmeng3， LEI Kewei1
1.Software Engineer College， Zhengzhou University of Light Industry， Zhengzhou 450002， China；2.School of Computer Science and Communication Engineering，Zhengzhou University of Light Industry， Zhengzhou 450002，China；3.School of Computer Engineering， Henan Economy and Trade Vocational College， Tianjin 450002， China
Abstract：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.
邓璐娟,陈欣欣,李 璞,李金萌,雷科伟. 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[J]. 华中师范大学学报(自然科学版), 2019, 53(1): 30-37.
DENG Lujuan,CHEN Xinxin,LI Pu,LI Jinmeng,LEI Kewei. Application research of the rental housing recommendation system of improved TOPSIS. journal1, 2019, 53(1): 30-37.
2019, Vol. 53 
