Collective Intelligence in Mobile Consumer Social Applications

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.