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Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation

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成果类型:
会议论文
作者:
Ma, Huifang*;Zhang, Di;Zhao, Weizhong;Wang, Yanru;Shi, Zhongzhi
通讯作者:
Ma, Huifang
作者机构:
[Wang, Yanru; Ma, Huifang; Zhang, Di] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China.
[Ma, Huifang] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin 541004, Guangxi, Peoples R China.
[Zhao, Weizhong] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
[Shi, Zhongzhi] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
通讯机构:
[Ma, Huifang] N
[Ma, Huifang] G
Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China.
Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin 541004, Guangxi, Peoples R China.
语种:
英文
期刊:
2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM)
ISSN:
1550-4786
年:
2018
页码:
1158-1163
会议名称:
18th IEEE International Conference on Data Mining Workshops (ICDMW)
会议论文集名称:
IEEE International Conference on Data Mining
会议时间:
NOV 17-20, 2018
会议地点:
Singapore, SINGAPORE
会议主办单位:
[Ma, Huifang;Zhang, Di;Wang, Yanru] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China.^[Ma, Huifang] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin 541004, Guangxi, Peoples R China.^[Zhao, Weizhong] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Shi, Zhongzhi] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
会议赞助商:
IEEE, IEEE Comp Soc, Natl Sci Fdn, Singapore Management Univ, Living Analyt Res Ctr, Shanghai Yixue Educ Technol, X Order, UCommune Singapore
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-9159-5
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61762078, 61363058, 61762079]; Guangxi Key Laboratory of Trusted Software [kx201705]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Recommending valuable contents for microblog users is an important way to improve users' experiences. As high quality descriptors of user semantics, tags have always been used to represent users' interests or attributes. In this work, we propose a microblog recommendation approach via hypergraph random walk tag expansion and user social relation. More specifically, microblogs are considered as hyperedges and terms are taken as hypervertexs for each user, and the weighting strategies for both hyperedges and hypervertexs are established. Random walk is performed on the weighted hypergraph to obt...

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