A Personalized Search Model Using Online Social Network Data Based on a Holonic Multiagent System

被引：0

作者：

Wang, Meijia ^{[1
]}

Li, Qingshan ^{[1
]}

Lin, Yishuai ^{[1
]}

机构：

[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China

来源：

CHINA COMMUNICATIONS | 2020年 / 17卷 / 02期

基金：

中国国家自然科学基金;

关键词：

personalized search; online social network; holonic multiagent system; COALITION-FORMATION; SELF-ORGANIZATION; WEB SEARCH;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Personalized search utilizes user preferences to optimize search results, and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data. However, the behavioral data arc noisy because users often clicked some irrelevant documents to find their required information, and the new user cold start issue represents a serious problem, greatly reducing the performance of personalized search. This paper attempts to utilize online social network data to obtain user preferences that can be used to personalize search results, mine the knowledge of user interests, user influence and user relationships from online social networks, and use this knowledge to optimize the results returned by search engines. The proposed model is based on a holonic multiagent system that improves the adaptability and scalability of the model. The experimental results show that utilizing online social network data to implement personalized search is feasible and that online social network data are significant for personalized search.

引用

页码：176 / 205

页数：30

共 58 条

[11]

Ding C., 2002, Proceedings of SIGIR 2002. Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P353

[12] Multi-Agent System for Distributed Management of Microgrids [J].

Eddy, Y. S. Foo. ;

Gooi, H. B. ;

Chen, S. X. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :24-34

[13]

Elliman D. G., 2018, COMPUT J, V47, P708

[14]

Freyne J, 2004, LECT NOTES COMPUT SC, V3137, P95

[15]

Garijo F. J., 1999, MULTIAGENT SYSTEM EN

[16]

Garofalakis J, 2008, LECT NOTES ARTIF INT, V5178, P238, DOI 10.1007/978-3-540-85565-1_30

[17]

GOFF JP, 2013, J TONGJI U NATURAL S, V41, P957, DOI DOI 10.1016/J.EXPHEM.2013.08.001

[18] Personalized Search by a Multi-type and Multi-level User Profile in Folksonomy [J].

Gou, Zhinan ;

Han, Lixin ;

Zhu, Jun ;

Yang, Yi ;

Duan, Baobin .

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (12) :7563-7572

[19]

Guo L, 2012, INT CONF CLOUD COMPU, P553, DOI 10.1109/CCIS.2012.6664235

[20]

He M, 2019, CHINA COMMUN, V16, P219, DOI 10.12676/j.cc.2019.04.017

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