Autonomous Generation of Spherical P2P Delaunay Network for Global Internet Applications

2006 ◽  
Author(s):  
Hiroaki Kato ◽  
Takayuki Eguchi ◽  
Masaaki Ohnishi ◽  
Shinichi Ueshima
Keyword(s):  
Internet Applications

STUDY ON THE ATTITUDE TOWARDS INTERNET APPLICATIONS

2017 ◽  
Vol 6 (2) ◽  
pp. 33
Author(s):  
DEVIKA R. ◽  
Keyword(s):  
Internet Applications

Rich Internet Applications mit Adobe Flex 3

2008 ◽  
Author(s):  
Simon Widjaja
Keyword(s):  
Internet Applications ◽  
Rich Internet Applications

scholarly journals Improved Haar Cascade Feature Extraction and Access Control Framework for Rich Internet Applications

2021 ◽  
Vol 1916 (1) ◽  
pp. 012019
Author(s):  
S Srithar ◽  
I Mettildha Mary ◽  
P Baskaran ◽  
T Maheswaran
Keyword(s):  
Feature Extraction ◽  
Access Control ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Control Framework ◽  
Haar Cascade

scholarly journals Accuracy improvements for cold-start recommendation problem using indirect relations in social networks

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fu Jie Tey ◽  
Tin-Yu Wu ◽  
Chiao-Ling Lin ◽  
Jiann-Liang Chen
Keyword(s):  
Social Media ◽  
Recommender System ◽  
Mobile Networks ◽  
Reference Value ◽  
User Preferences ◽  
Digital Information ◽  
Internet Applications ◽  
Social Media Networks ◽  
Recommendation Accuracy ◽  
Gain Access

AbstractRecent advances in Internet applications have facilitated information spreading and, thanks to a wide variety of mobile devices and the burgeoning 5G networks, users easily and quickly gain access to information. Great amounts of digital information moreover have contributed to the emergence of recommender systems that help to filter information. When the rise of mobile networks has pushed forward the growth of social media networks and users get used to posting whatever they do and wherever they visit on the Web, such quick social media updates already make it difficult for users to find historical data. For this reason, this paper presents a social network-based recommender system. Our purpose is to build a user-centered recommender system to exclude the products that users are disinterested in according to user preferences and their friends' shopping experiences so as to make recommendations effective. Since there might be no corresponding reference value for new products or services, we use indirect relations between friends and “friends’ friends” as well as sentinel friends to improve the recommendation accuracy. The simulation result has proven that our proposed mechanism is efficient in enhancing recommendation accuracy.

Legal Requirements for the Personalization of Commercial Internet Applications in Europe

2006 ◽  
Vol 16 (3-4) ◽  
pp. 203-221 ◽  
Author(s):  
Petra Schubert ◽  
Mathias Kummer ◽  
Uwe Leimstoll
Keyword(s):  
Legal Requirements ◽  
Internet Applications

Rich Client Internet Applications

2017 ◽  
pp. 1775-1775
Keyword(s):  
Internet Applications
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