Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 733-737.doi: 10.11896/jsjkx.210800062

• Interdiscipline & Application • Previous Articles     Next Articles

Hybrid Housing Resource Recommendation Based on Combined User and Location Characteristics

PIAO Yong, ZHU Si-yuan, LI Yang   

  1. School of Software,Dalian University of Technology,Dalian,Liaoning 116620,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:PIAO Yong,born in 1975,Ph.D,asso-ciate professor,is a member of China Computer Federation.His main research interests include data mining and computational intelligence,database and decision support system.

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Abstract: With the development of the times,the idea of users to purchase houses has also changed,paying more attention to the location resources in their decision-making process.This paper proposes a hybrid recommendation method based on user and location resource characteristics to provide more accurate purchasing suggestions,where the content-based recommendation algorithm and user based collaborative filtering algorithm are combined in a cascade way.By integrating 170 000＋ housing transaction with 1200＋location resource data,experiment result shows that the proposed hybrid model has better recommendation effect than the traditional ones.

Key words: Hybrid recommendation model, Location resources, User interest preference

CLC Number: 

  • TP311
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