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Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks

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成果类型:
会议论文
作者:
Yan, Rui*;Li, Cheng-Te;Hsieh, Hsun-Ping;Hu, Po;Hu, Xiaohua;...
通讯作者:
Yan, Rui
作者机构:
[Hu, Po; Hu, Xiaohua; Yan, Rui; He, Tingting] Cent China Normal Univ, Comp Sch, Wuhan 430079, Hubei, Peoples R China.
[Yan, Rui] Baidu Inc, Nat Language Proc Dept, Beijing 100085, Peoples R China.
[Li, Cheng-Te] Acad Sinica, Taipei 11529, Taiwan.
[Hsieh, Hsun-Ping] Air Force Inst Technol, Kaohsiung 82047, Taiwan.
[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构:
[Yan, Rui] C
[Yan, Rui] B
Cent China Normal Univ, Comp Sch, Wuhan 430079, Hubei, Peoples R China.
Baidu Inc, Nat Language Proc Dept, Beijing 100085, Peoples R China.
语种:
英文
关键词:
Language model smoothing;bi-directional influence propagation;social networks
期刊:
PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16)
年:
2016
页码:
1395-1405
会议名称:
25th International Conference on World Wide Web (WWW)
会议时间:
MAY 11-15, 2016
会议地点:
Montreal, CANADA
会议主办单位:
[Yan, Rui;Hu, Po;Hu, Xiaohua;He, Tingting] Cent China Normal Univ, Comp Sch, Wuhan 430079, Hubei, Peoples R China.^[Yan, Rui] Baidu Inc, Nat Language Proc Dept, Beijing 100085, Peoples R China.^[Li, Cheng-Te] Acad Sinica, Taipei 11529, Taiwan.^[Hsieh, Hsun-Ping] Air Force Inst Technol, Kaohsiung 82047, Taiwan.^[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
会议赞助商:
Assoc Comp Machinery, Int WWW Conf Comm, ACM SIGWEB, Google, Microsoft, Palais Congres Montreal, Tourisme Montreal, Yahoo Res, Baidu, Bookwitty, Cisco, YelloPages, IBM Res, UQAM
出版地:
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
出版者:
ASSOC COMPUTING MACHINERY
ISBN:
978-1-4503-4143-1
基金类别:
major project of National Social Science Fund [122D223]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [61532008, 61402191]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
In recent years, online social networks are among the most popular websites with high PV (Page View) all over the world, as they have renewed the way for information discovery and distribution. Millions of users have registered on these websites and hence generate formidable amount of user-generated contents every day. The social networks become "giants", likely eligible to carry on any research tasks. However, we have pointed out that these giants still suffer from their "Achilles Heel", i.e., extreme sparsity [34, 32]. Compared with the extremely large data over the whole collection, individ...

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