Coordinatore | UNIVERSITY OF IOANNINA
Organization address
address: "LEOFOROS STAVROS S NIARCHOS, PANEPISTIMIOUPOLI IOANNINON" contact info |
Nazionalità Coordinatore | Greece [EL] |
Totale costo | 194˙549 € |
EC contributo | 194˙549 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-IOF-2008 |
Funding Scheme | MC-IOF |
Anno di inizio | 2009 |
Periodo (anno-mese-giorno) | 2009-08-01 - 2011-07-31 |
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UNIVERSITY OF IOANNINA
Organization address
address: "LEOFOROS STAVROS S NIARCHOS, PANEPISTIMIOUPOLI IOANNINON" contact info |
EL (IOANNINA) | coordinator | 194˙549.17 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'Today there is an abundance of data on line. The grand challenge is turning this huge amount of data to knowledge useful to the individual users of the Internet. DiP3 will address this challenge by tackling one form of data processing, often referred to as “push” data delivery. In push data delivery, instead of explicitly searching for information, users get notified when relevant information becomes available. Examples of such systems include RSS feeds, news alerts and aggregators. The scientific objective of the proposal is to derive models, algorithms and techniques to control both the amount and quality of information received by users. To this end, we propose incorporating user preferences in data delivery to rank data items based on their relevance to the users. Although preference specification has been extensively studied, there is little previous research work on incorporating preferences in Internet-scale data delivery. Furthermore, DIP3 will exploit the inherent social connections between users in Web 2.0 as expressed through social networks, social tagging, and other community-based features to enhance preference specification and ranked information delivery. The project will focus on two issues central to the success of such systems: privacy preservation and performance. Besides the sought research achievements, the main objective of the project is to reinforce the international dimension of the career of the European researcher by giving her the opportunity to be trained at the outgoing host institution, namely the College of Computing in Georgia Institute of Technology, US, whose graduate program is listed among the top-10 ones in the US for 2008. Within the College, the DiSL lab produces high-level research in large-scale distributed systems examining performance, security and privacy. The researcher will return to her institution, the Computer Science Department of the University of Ioannina, with new knowledge and experience.'
Improvements are needed in the 3Ps of online information, namely preferences, privacy and performance. New developments and knowledge transfer under this topic are improving the way the Internet delivers relevant content to our screens.
With so much data available on the World Wide Web, it is getting harder for users to find the exact information they want. One way to overcome this challenge is to develop more 'push' solutions that send information directly to a user rather than scouring the Internet for hours. The EU-funded project 'The 3Ps of distributed information delivery: Preferences, privacy and performance' (DIP3) set out to develop models and techniques that help deliver better quality information, controlling the amount of useful data at the same time.
The project team integrated user preferences in data delivery and exploited social connections between users in Web 2.0 technology based on social networks, social tagging and other concepts. Moreover, instead of traditional binary searches represented by a match/no-match model, DIP3 technology assigns degrees or relevance to deliver more interesting and relevant information to users.
Features of such searches include eliminating repetition of results and exploring databases through recommendations. This dramatically improves results of database queries through improved representation, composition and application of preferences. As such, the project developed two new metrics that assess the relevance of results as a set, covering several user interests and content diversity. It also elaborated several personalised privacy mechanisms and models for this technology.
Currently, the project is upgrading knowledge transfer in this area through a graduate course on data privacy in social networks and by modifying other undergraduate courses on data mining and databases. Several joint projects among universities in Cyprus, Greece, Italy and the United States will significantly enhance the 3Ps of data on the Internet. Lastly, the project also helped launch two projects to enhance SMEs through novel information delivery tools using social networks and smart phones.
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