A novel collaboration partner model based on the personal relationships of SNS

Chengjiu Yin, Jane Yin Kim Yau, Yoshiyuki Tabata

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we describe a novel model for locating appropriate 'helpers' for users based on the Chain of Friends (CoF) personal relationship in a SNS system, in order to locate appropriate 'helpers' for different users. This model is called SESNMM (Search Engine for Social Networked Mobile Model) and allows individual users, located in remote locations, to participate in a collaborative online community, via our SESNMM-based system. Such typical helpers are willing to help other users solve their tasks/problems and it is intended that both the users and helpers gain knowledge from these interactive online sessions. We have applied this model for inviting PC members of an international conference - namely LTLE 2012. The results showed that our model is very effective for discovering collaboration partners, locating useful helpers, finding users with similar interests in order to create communities for providing future and longer-term helping and teaching exchange.

    Original languageEnglish
    Title of host publicationActive Media Technology - 8th International Conference, AMT 2012, Proceedings
    Pages520-527
    Number of pages8
    DOIs
    Publication statusPublished - 2012
    Event8th International Conference on Active Media Technology, AMT 2012 - Macau, China
    Duration: Dec 4 2012Dec 7 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7669 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other8th International Conference on Active Media Technology, AMT 2012
    CountryChina
    CityMacau
    Period12/4/1212/7/12

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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