PinView
Personal Information Navigator Adapting Through Viewing
| Coordinatore | AALTO-KORKEAKOULUSAATIO
Organization address
address: P.O.Box 15400 1 contact info |
| Nazionalità Coordinatore | Finland [FI] |
| Totale costo | 3˙676˙137 € |
| EC contributo | 2˙550˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2007-1 |
| Funding Scheme | CP |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-01-01 - 2011-03-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
AALTO-KORKEAKOULUSAATIO
Organization address
address: P.O.Box 15400 1 contact info |
FI (AALTO) | coordinator | 0.00 |
| 2 |
CELUM GMBH
Organization address
address: EUROPAPLATZ contact info |
AT (LINZ) | participant | 0.00 |
| 3 |
MONTANUNIVERSITAET LEOBEN
Organization address
address: FRANZ-JOSEF-STRASSE contact info |
AT (LEOBEN) | participant | 0.00 |
| 4 |
UNIVERSITY COLLEGE LONDON
Organization address
address: Gower Street contact info |
UK (LONDON) | participant | 0.00 |
| 5 |
UNIVERSITY OF SOUTHAMPTON
Organization address
address: Highfield contact info |
UK (SOUTHAMPTON) | participant | 0.00 |
| 6 |
XEROX SAS
Organization address
address: Avenue du President Wilson, Immeuble Le Jade contact info |
FR (LA PLAINE SAINT-DENIS CEDEX) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
Simple search engines have turned out to be successful in text retrieval. This is partly due to advances in algorithms, but additionally because the typical tasks are relatively straightforward as it is possible to come up with a good list of keywords with a reasonable effort. All information needs cannot however be solved with such searches. For the more and more commonly available audio-visual data people are not able to specify efficient non-textual search keys. Moreover, if the information needs of the user are tacit it is very laborious to create a query.nWe develop new information retrieval principles needed for replacing or complementing explicit queries. The new techniques will be applied to construct prototypes of proactive information navigators, the next generation systems able to adapt to the user and her tacit information needs. During browsing and searching with a task-dependent interface, the goals of the user will be inferred from implicit feedback signals and interaction, complemented with social filtering.nNew advanced machine learning methods are needed for inferring the implicit topic of interest and the sense in which it is interesting. We will augment the standard two-valued relevance feedback from the user by richer feedback derived from point-and-click and point-and-speak interfaces and gaze patterns over items that include texts, images and movies. Eye tracking technology is rapidly maturing to be usable on a massive scale.nOur consortium combines pioneering application expertise with solid machine learning background. We have built a top content-based image retrieval system and used eye tracking in information retrieval. Our machine learning expertise is suited for the core issues of learning the comparison metrics and solving the exploration-exploitation problem. Proactive information navigators will bring up a new spectrum of application areas; the system will be tested in a set of targeted applications by two industry partners.