Collective Intelligence in Mobile Consumer Social Applications ?>

Collective Intelligence in Mobile Consumer Social Applications

Sotiris Diplaris,
Ioannis Kompatsiaris,
Ana Flores,
Manuel Escriche,
Börkur Sigurbjörnsson,
Lluis Garcia Pueyo,
Roelof van Zwol.

In:
Proceedings of the 2010 Ninth International Conference on Mobile Business / 2010 Ninth Global Mobility Roundtable

Link: doi

Abstract

This paper presents a mobile software application for the provision of mobile guidance, supporting functionalities, which are based on automatically extracted Collective Intelligence. Collective Intelligence is the intelligence which emerges from the collaboration, competition and coordination among individuals and can be extracted by the analysis of mass amount of user-contributed data currently available in Web 2.0 applications. More specifically, services including automatic Point of Interest (POI) detection, raking, search and aggregation with semi-structured sources (e.g. Wikipedia) are developed, which are based on lexical and statistical analysis of mass data coming from Wikipedia, Yahoo! Geoplanet, query logs and flickr tags. These services together with personalization functionalities are integrated in a travel mobile application, enabling their efficient usage exploiting on the same time user location information. Evaluation with real users depicts the application’s potential for providing a higher degree of satisfaction compared to existing travel information management solutions and also directions for future enhancements.

Bibtex

@inproceedings{Diplaris:2010:CIM:1846453.1847886,
author = {Diplaris, S.
and Kompatsiaris, I.
and Flores, Ana
and Escriche, M.
and Sigurbjornsson, Borkur
and Garcia, L.
and Zwol, R. van},
title = {Collective Intelligence in Mobile Consumer Social Applications},
booktitle = {Proceedings of the 2010 Ninth International Conference on Mobile
Business / 2010 Ninth Global Mobility Roundtable},
series = {ICMB-GMR '10},
year = {2010},
isbn = {978-0-7695-4084-9},
pages = {206--212},
numpages = {7},
url = {http://dx.doi.org/10.1109/ICMB-GMR.2010.71},
doi = {http://dx.doi.org/10.1109/ICMB-GMR.2010.71},
acmid = {1847886},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {Collective Intelligence, mobile guidance, mobile social applications,
mass user feedback analysis, POIs extraction},
}

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