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MobiGroup: Enabling Lifecycle Support to Social Activity Organization

 

MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion With Mobile Crowd Sensing

ABSTRACT

This project presents a group-aware mobile crowd sensing system called MobiGroup, which supports group activity organization in real-world settings. Acknowledging the complexity and diversity of group activities, this paper introduces a formal concept model to characterize group activities and classifies them into four organizational stages. We then present an intelligent approach to support group activity preparation, including a heuristic rule-based mechanism for advertising public activity and a context-based method for private group formation. In addition, we leverage features extracted from both online and offline communities to recommend ongoing events to attendees with different needs. Compared with the baseline method, people preferred public activities suggested by our heuristic rule-based method. Using a dataset collected from 45 participants, we found that the context based approach for private group formation can attain a precision and recall of over 80%, and the usage of spatial–temporal contexts and group computing can have more than a 30% performance improvement over considering the interaction frequency between a user and related groups. A case study revealed that, by extracting the features such as dynamic intimacy and static intimacy, our cross-community approach for ongoing event recommendation can meet different user needs.

Software Requriments
Front End: HTML5, CSS3, Bootstrap
Back End: PHP, MYSQL
Control End: Angular Java Script
Tool: Android SDK, Xampp, Eclipse

Existing Solution:


These systems mainly grouped people already located nearby and did not to recruit
like-minded contacts who are not yet gathered but could be. Furthermore, no existing studies have given a systematic investigation of the generic process of group activity organization.

 

 Proposed Solution:      


MobiGroup, to the best of our knowledge, provides the first concept model of this field.
[1] Examples include email and group editing/conferencing tools. Contact Map provided an editable group visualization tool to depict personal contacts and groups.
 [2] Displayed social groups mined from email data. Researchers from Google proposed a method that can suggest a recipient group upon email composition
 [3] These systems extracted social groups from online interactions. They did not address group activity organization in real-world scenarios.

project-center-trichy-thanjavur-kumbakonam
project-center-salem-erode-namakal-tiruchengode-karur-gandhipuram
project-center-mannargudi-pattukkottai
project-center-ambattur-avadi-ashokpillar-adyar-ekkaduthangal
project-center-bangalore-chennai-trivandrum
project-center-bhubaneswar-belgum-bhopal
project-center-chidambaram-mayiladuthurai-nagapattinam-cuddalore
project-center-coimbatore-chennai-salem-madurai-erode-trichy-tirunelveli-pondicherry
project-center-delhi-mumbai-hyderabad-visakhapatnam
project-center-dharmapuri-hosur-krishnagiri
project-center-dindigul-palani-rasipuram
project-center-tirunelveli-tiruchendur-nagercoil-virudhunagar-rajapalayam
project-center-tnagar-tambaram-nungambakkam-velachery
project-center-trivandrum-ernakulam
project-center-in-chennai

Android Project Titles 2017-2018

Android Project Titles 2017-2018





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