SPICE: Scalable P2P implicit group messaging

Cutting, Daniel; Quigley, Aaron; Landfeldt, Bjorn

doi:10.1016/j.comcom.2007.08.026

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…In particular, the tool considers the user attributes contained in regular user profiles, in the automatic identification of groups of users that share the same characteristic or attribute, like Cutting et al in [1].…”

Section: F Tig : Discussionmentioning

confidence: 99%

“…Previous work [1] has addressed the usage of the implicit groups concept as part of a scalable Implicit Group Messaging (IGM), a decoupled messaging paradigm for connecting content publishers and consumers in a peer-topeer environment.…”

Section: Introductionmentioning

confidence: 99%

“…This concept is traditionally associated with a set of individuals and their interactions, leading to implicit social graphs formed between each user and his/her contacts. From the analysis of these concepts, the definition of implicit groups emerges [1], [2], [3], [4], where each of these groups can be seen as a set of individuals inter-related through common characteristics, interests and/or contexts.…”

Section: Introductionmentioning

confidence: 99%

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Implicit groups in web-based interactive applications

Pais

Morgado

Cunha

2011

2011 International Conference on Computational Aspects of Social Networks (CASoN)

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The information overload resulting from the growth of the Internet increases the need for efficient mechanisms to identify and manage information relevant for users and groups of users within web-based interactive applications. As users can be grouped according to shared interests, characteristics and interactions, groups form convenient structures to support the required personalization.Previous work on the subject of implicit groups, carried out in areas such as computer networks and social media, suggests its usefulness in the development of web-based applications, specially in the way content is shared and user personalization is achieved. In this paper we investigate the dynamic identification of such groups based on the generation of extended user profiles and the application of content-analysis features, provided by an external framework. Our approach extends common explicit user profiles with implicit extracted data reflecting each user interests and interactions with other users and with the system.In order to draw conclusions about the use of implicit groups as building blocks for web applications, we present a tool that allows an easy integration of the concept in web applications. Finally we specify an application scenario and discuss the tool integration into the Moodle platform.

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Section: F Tig : Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Implicit groups in web-based interactive applications

Pais

Morgado

Cunha

2011

2011 International Conference on Computational Aspects of Social Networks (CASoN)

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“…The building and management of group profiles is currently an active topic of investigation, focusing on how to extract relevant attributes describing groups of users in order to present a personalized information to the individual users and/or to the collective [7], [11], [12], [3], [9], [6], [13], [14], [5], [15], [8]. Multiple dimensions have been addressed in these works, concerning the nature of groups (persistent or transient, public or private), group formation (explicit or implicit), group management (membership and consensus negotiations), generation of group recommendations, and user interfaces (presentation of individual and group information).…”

Section: Background and Related Workmentioning

confidence: 99%

“…Overall, this concept refers to the ability for a system to automatically detect, analyze, and extract/infer relevant information related to the identification, formation, and management of groups of users, in a certain usage context. This concept has been applied in several different contexts of usage, such as implicit group messaging, social media and networking contexts [8], [9], [10], [3]. Overall the concept is useful for improving the functionalities for information sharing and personalization in social networks and user communities.…”

Section: Introductionmentioning

confidence: 99%

A Tool for Improving Personalization and Information Sharing Using Implicit Groups

Pais

Morgado

Cunha

2012

2012 Second International Conference on Cloud and Green Computing

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In this paper we discuss how the concept of implicit groups is used to build and manage extended user profiles enabling an easier way to supply personalized features and/or information, and guide their dynamic updating. This approach extends the individual user profiles, which are explicitly defined by the user in typical interactive applications and environments, with additional information that reflects the interests, characteristics, and interaction patterns shared among users. Such extended data is implicitly and automatically obtained through the analysis of the user behavior and the corresponding interactions with the system and other users.We developed a tool (TIG) that enables the dynamic discovery and management of new groups based on the generation of extended user profiles in interactive applications or environments. The main goal of the tool is to support the integration of the above concept and its associated functionalities into existing or newly developed interactive applications. We discuss how the tool enables the integration of implicit groups into an existing collaborative environment (Moodle), as a way to provide extended functionalities for sharing information according to the extended user profile. We discuss this extended Moodle functionality and its use in a college campus application to spread information among students and teachers.

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