EVALUATE

Theory and Practice of Algorithms for analysis of People and Data on the Web

Coordinatore	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY    more  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 4854 Fax: +972 4 823 2958
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
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-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-09-01   -   2014-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 4854 Fax: +972 4 823 2958	IL (HAIFA)	coordinator	100˙000.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Since the late 20th century, an ever growing abundance of information became available to a rapidly growing population through the internet. It was no longer necessary to be tech savvy or to know what a relational database was in order to tap into this abundance: Millions of people started searching and connecting with friends on the web on a regular basis. This revolution is still causing significant social and economic changes, while evolving on two main tracks. The first track is the increase in storage, networking and processing power, harnessed in various physical configurations (data centers, handheld devices, personal computers and internet providers), making the same massive amounts of data appear virtually present simultaneously everywhere. The second force, complementing the first, is the algorithmic and statistical tools bridge between the people and the data. It is widely understood today that the survival of popular online applications (search engines, social networks, ad networks) heavily depends on the ability to represent data (e.g. indexing, classification and storage) and serve it (e.g. as query results, ads and recommendations) efficiently and reliably. It is hence not surprising that huge efforts are invested in analysis of massive amounts of data and people. These efforts transcend traditional borders of computer science and reposition the field as an engine for emerging multidisciplinary research, very much the way bioinformatics emerged before.

We are already witnessing the economic and social influence of the internet on our lives, and the goal of this research is to identify simple structures that emerge in this ecosystem (graphs, clusters, high dimensional spaces, ratings, discrete choice and preference) and apply algorithmic tools to them.'

Introduzione (Teaser)

Although written information has been gathered since the beginning of recorded history, the rate of data acquisition has surged in today's computer world, with no end in sight. EU-funded scientists worked on tools for online resources to track and analyse usage patterns and preferences.