AbstractThis paper proposes the implicit social networking as an innovative methodology for approaching consumers who possess information-rich user profiles based on aplethora of online services they use. An implicit social network is not explicitly built by consumers themselves, but implicitly calculated by third parties based on a level of a common interest between consumers (i.e., profile matchmaking). The analysis of aconsumer social network created in such a manner enables discovery of hidden roles, relationships and communities among consumers and represents a basis for provisioning of innovative services (e.g., personalized and/or context-aware services such as recommender systems). The implicit social networking methodology is evalu...
Online social networking has become a reality and integral part of the daily personal, social and bu...
The diverse forms of participation in social media raise many methodological and ethical issues that...
Abstract—Social information between users has been widely used to improve the traditional Recommende...
AbstractThis paper proposes the implicit social networking as an innovative methodology for approach...
International audiencehe pervasiveness of the Internet has lead research and applications to focus m...
The rise in electronic interactions has made information networks ubiquitous. Correspondingly, resea...
The concept of social ties was introduced by Granovetter through the seminal paper titled" Strength ...
Especially within the context of the ongoing Web 2.0 hype, social software has recently gained more ...
The explosive growth of social networks in recent times has presented a powerful source of informati...
The Internet is an ideal platform for business-to-consumer (B2C) and business-to-business (B2B) elec...
Social connections often have a significant influence on personal decision making. Researchers have ...
Abstract With social media and the according social and ubiquitous applications finding their way in...
Personalised social matching systems can be seen as recommender systems that recommend people to oth...
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program i...
SIGCHI ACM Special Interest Group on Computer-Human Interaction SIGWEB ACM Special Interest Group o...
Online social networking has become a reality and integral part of the daily personal, social and bu...
The diverse forms of participation in social media raise many methodological and ethical issues that...
Abstract—Social information between users has been widely used to improve the traditional Recommende...
AbstractThis paper proposes the implicit social networking as an innovative methodology for approach...
International audiencehe pervasiveness of the Internet has lead research and applications to focus m...
The rise in electronic interactions has made information networks ubiquitous. Correspondingly, resea...
The concept of social ties was introduced by Granovetter through the seminal paper titled" Strength ...
Especially within the context of the ongoing Web 2.0 hype, social software has recently gained more ...
The explosive growth of social networks in recent times has presented a powerful source of informati...
The Internet is an ideal platform for business-to-consumer (B2C) and business-to-business (B2B) elec...
Social connections often have a significant influence on personal decision making. Researchers have ...
Abstract With social media and the according social and ubiquitous applications finding their way in...
Personalised social matching systems can be seen as recommender systems that recommend people to oth...
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program i...
SIGCHI ACM Special Interest Group on Computer-Human Interaction SIGWEB ACM Special Interest Group o...
Online social networking has become a reality and integral part of the daily personal, social and bu...
The diverse forms of participation in social media raise many methodological and ethical issues that...
Abstract—Social information between users has been widely used to improve the traditional Recommende...