模式识别与人工智能
Monday, Jul. 28, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2019, Vol. 32 Issue (8): 746-757    DOI: 10.16451/j.cnki.issn1003-6059.201908008
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
Heat Diffusion Influence Propagation Based Personalized Recommendation Algorithm for Social Network
REN Yonggong1, YANG Liu1, LIU Yang1
1.School of Computer and Information Technology, Liaoning Normal University, Dalian 116081

Download: PDF (2486 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

The primary objective of a personalized recommendation system is to provide pertinent recommendations for users and improve internet information utilization. A social network personalized recommendation algorithm based on heat diffusion influence propagation(HDIP) is proposed in this paper combining HDIP with the hidden follow-up relationship in the social network of users. Firstly, in the HDIP algorithm, the friendship in real life is transformed into follow-up relationship between customers in shopping network. Heterogeneous information network graphs are constructed and the composite similarities between users are calculated. Secondly, the influence propagation process in social networks based on the heat diffusion model is simulated. Probability scores of users in the social network are calculated and accurately sorted to select neighboring users similar to the target users. Finally, the products of potential interest are recommended to the target users according to the ranking. Thus, the personalized recommendation is implemented. The public dataset is utilized for the comparison between HDIP and conventional recommendation algorithms. The experimental results show that HDIP produces a relatively high accuracy and various recommendation effects.

Key wordsData Mining      Social Network      Heat Diffusion      Collaborative Filtering      Personalized Recommendation     
Received: 17 September 2018     
ZTFLH: TP 301  
Fund:

Supported by National Natural Science Foundation of China(No.61772252), Natural Science Foundation of Liaoning Province(No.20180550542), Dalian Science and Technology Innovation Fund(No.2018J12GX047), Dalian Key Laboratory Special Fund

Corresponding Authors: REN Yonggong(Corresponding author), Ph.D., professor. His research interests include database technology, data mining and intelligent information calculation.   
About author:: YANG Liu, master student. Her research interests include data mining.LIU Yang, Ph.D., lecturer. His research interests include digital image processing and radar retrieval.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
REN Yonggong
YANG Liu
LIU Yang
Cite this article:   
REN Yonggong,YANG Liu,LIU Yang. Heat Diffusion Influence Propagation Based Personalized Recommendation Algorithm for Social Network[J]. , 2019, 32(8): 746-757.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201908008      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2019/V32/I8/746
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn