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Desktop data driven approach to personalize query recommendation

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成果类型:
期刊论文、会议论文
作者:
Li, Xiao-yun;Yu, Ying*
通讯作者:
Yu, Ying
作者机构:
[Li, Xiao-yun; Yu, Ying] Univ South China, Sch Comp Sci & Technol, Hengyang, Hunan, Peoples R China.
通讯机构:
[Yu, Ying] U
Univ South China, Sch Comp Sci & Technol, Hengyang, Hunan, Peoples R China.
语种:
英文
关键词:
Desktop data;Query recommendation;Search task;User model;Work task
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2017
卷:
727
期:
1
页码:
100-109
会议名称:
3rd International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE)
会议论文集名称:
Communications in Computer and Information Science
会议时间:
SEP 22-24, 2017
会议地点:
Cent S Univ, Changsha, PEOPLES R CHINA
会议主办单位:
Cent S Univ
会议赞助商:
Hunan Higher Educ Federat, Comp Educ Comm
主编:
Zou, B Li, M Wang, H Song, X Xie, W Lu, Z
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-981-10-6385-5; 978-981-10-6384-8
基金类别:
supported by the National Natural Science Foundation of China (No. 61402220);Scientific Research Project of Education Bureau of Hunan Province, China (Grant No. 15C1186);the Construct Program for the Key Discipline in University of South China (No. NHxk02);the Construct Program for Innovative Research Team in University of South China
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
Query recommendation is an effective method to help users describe their search intentions. In a personalized system, cold-start and the data sparsity were unavoidable, which directly lead t...

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