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在“
Elsevier电子期刊
”中,
命中:
39,869
条,耗时:0.0379822 秒
在所有数据库中总计命中:
46,084
条
1.
Real-time
recommendation
algorithms for crowdsourcing systems
作者:
Mejdl Safran
a
;
b
;
mejdl.safran@siu.edu
;
Dunren Che
a
;
dch@cs.siu.edu
关键词:
Crowdsourcing
;
Recommendation
algorithms
;
Task
recommendation
;
Worker
recommendation
;
Top-k tasks
;
Top-k workers
刊名:Applied Computing and Informatics
出版年:2017
2.
Who should comment on this pull request? Analyzing attributes for more accurate commenter
recommendation
in pull-based development
作者:
Jing Jiang
a
;
jiangjing@buaa.edu.cn
;
Yun Yang
a
;
ayonel@qq.com
;
Jiahuan He
a
;
lightbot.johnson@gmail.com
;
Xavier Blanc
b
;
xavier.blanc@labri.fr
;
Li Zhang
;
a
;
lily@buaa.edu.cn
关键词:
Commenter
recommendation
;
Reviewer
recommendation
;
Attribute selection
;
Pull-based software development
刊名:Information and Software Technology
出版年:2017
3.
Combining tag correlation and user social relation for microblog
recommendation
作者:
Huifang Ma
;
mahuifang@yeah.net
;
35882614@qq.com
Author Vitae
;
Meihuizi JiaAuthor Vitae
;
Di ZhangAuthor Vitae
;
Xianghong LinAuthor Vitae
关键词:
Microblog
recommendation
;
Tag retrieval
;
User-tag matrix
;
User-tag weight
;
Tag correlation
;
User&ndash
;
user social relation
刊名:Information Sciences
出版年:2017
4.
Efficient privacy-preserving content
recommendation
for online social communities
作者:
Dongsheng Li
a
;
b
;
d
Author Vitae
;
Qin Lv
c
;
qin.lv@colorado.edu
Author Vitae
;
Li Shang
b
;
c
Author Vitae
;
Ning Gu
a
;
d
;
ninggu@fudan.edu.cn
Author Vitae
关键词:
Recommendation
;
Privacy
;
Efficiency
刊名:Neurocomputing
出版年:2017
5.
ORFEL: Efficient detection of defamation or illegitimate promotion in online
recommendation
作者:
Gabriel Gimenes
;
ggimenes@icmc.usp.br" class="auth_mail" title="E-mail the corresponding author
;
Robson L.F. Cordeiro
robson@icmc.usp.br" class="auth_mail" title="E-mail the corresponding author
;
Jose F. Rodrigues-Jr
junio@icmc.usp.br" class="auth_mail" title="E-mail the corresponding author
关键词:
Graphs
;
Fraud detection
;
Defamation
;
Recommendation
;
Web 2.0
;
Data analysis
刊名:Information Sciences
出版年:2017
6.
Changes in the international
recommendation
s on neonatal stabilisation and resuscitation (2015)
作者:
Gonzalo Zeballos Sarrato
a
;
gonzesa@hotmail.com
;
gonzalo.zeballos@salud.madrid.org
;
Enrique Salguero Garcí
;
a
b
;
Josefa Aguayo Maldonado
c
;
Celia Gó
;
mez Robles
b
;
Marta Thió
;
Lluch
d
;
Martí
;
n Iriondo Sanz
e
;
Grupo de Reanimació
;
n Neonatal de la Sociedad Españ
;
ola de Neonatologí
;
a (GRN-SENeo)
&loz
;
关键词:
Resuscitation
;
Stabilisation
;
Transition support
;
Newborn
;
International Liaison Committee on Resuscitation
;
European Resuscitation Council
;
International
Recommendation
s
;
2015
刊名:Anales de Pediatría (English Edition)
出版年:2017
7.
Collaborative location
recommendation
s with dynamic time periods
作者:
Chiu-Ching Tuan
cctuan@ntut.edu.tw
;
Chi-Fu Hung
;
t6419003@ntut.edu.tw
;
Zong-Han Wu
t9418009@ntut.edu.tw
关键词:
Dynamic time periods
;
Collaborative filtering
;
Location-based services
;
Recommendation
system
刊名:Pervasive and Mobile Computing
出版年:2017
8.
Version-sensitive mobile App
recommendation
作者:
Da Cao
a
;
dcao@stu.xmu.edu.cn
;
Liqiang Nie
b
;
nieliqiang@gmail.com
;
Xiangnan He
c
;
xiangnan@comp.nus.edu.sg
;
Xiaochi Wei
d
;
wxchi@bit.edu.cn
;
Jialie Shen
e
;
jlshen@smu.edu.sg
;
Shunxiang Wu
;
a
;
sxwu@xmu.edu.cn
;
Tat-Seng Chua
c
;
dcscts@nus.edu.sg
关键词:
Mobile App
recommendation
;
Version progression
;
Data sparsity problem
;
Cold-start problem
;
Plug-in component
;
Online environment
刊名:Information Sciences
出版年:2017
9.
Recommendation
s for Choosing Single-Case Data Analytical Techniques
作者:
Rumen Manolov
;
rrumenov13@ub.edu
关键词:
single-case designs
;
data analysis
;
recommendation
s
刊名:Behavior Therapy
出版年:2017
10.
A trust induced
recommendation
mechanism for reaching consensus in group decision making
作者:
Yujia Liu
a
;
lyj71@126.com
;
Changyong Liang
a
;
cyliang@hfut.edu.cn
;
Francisco Chiclana
b
;
chiclana@dmu.ac.uk
;
Jian Wu
;
c
;
jyajian@163.com
关键词:
Group decision making
;
Recommendation
mechanism
;
Group consensus
;
Trust degree
;
Harmony degree
刊名:Knowledge-Based Systems
出版年:2017
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