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Personalisation in
Intelligent Transport Systems:
The Prosumer Approach
Neal Lathia, Licia Capra
Dept of Computer Science
University College London
Pomigliano D'Arco – ATA Workshop
November 5, 2010
three themes / tre temi
1. intelligent transport systems
/ sistemi di transporto intelligenti
2. personalisation
/ personalizzazione
3. prosumers
/ i prosumer
1. transport systems / sistemi di trasporto
1. intelligent / intelligenti
information / l'informazione
● can help people travel
/ può aiutare chi viaggia
● encourages public transport usage
/ stimola l'uso dei mezzi publici
mobile apps / applicazioni
answered questions
/ domande già risposte
how to travel from A to B?
/ come andare da A a B?
what disruptions are there?
/ quali servizi non sono
disponibili?
how long does it take to travel? / quanto
durerà il viaggio?
what is there to see near my destination? /
cosa c'e' vicino alla mia destinazione?
individual preferences and differences
are not accounted for
/ preferenze e differenze tra gli
individui non sono prese in
considerazione
2. personalisation
/ personalizzazione
personalisation on the internet
/ personalizzazione in internet
web services adapt to what you are
interested in: news, music, movies,
advertisements, e-commerce
catalogues, search results
/ i servizi web si adattano ai tuoi
interessi: notizie, musica, film,
pubblicità, prodotti varie, risultati
di ricerche
recommender systems /
sistemi di raccomandazione
recommender system
/ sistemi di raccomandazione
collaborative filtering
/ filtraggio collaborativo
matrix
/ matrice
prediction
/ predizioni
recommender system
/ sistemi di raccomandazione
applied to transport systems?
/ applicata ai sistemi di trasporto?
we don't have traveller preferences
/ non abbiamo le preferenze dei
viaggiatori
3. prosumers
/ i prosumer
produce/consume
what are “prosumers?”
/ cosa sono i “prosumer?”
prosume
what are “prosumers?”
/ cosa sono i “prosumer?”
users who create
useful data while
using the system
/ utenti che creano
dati utili mentre
usano il sistema
prosume
implicit prosuming
/ prosuming implicito
where, how, when, how
often I travel
/ dove, quando, come,
quanto spesso viaggio
x 600,000
when do londoners travel? /
quando viaggiano i londinesi?
everyone is the
same? / tutti sono
uguali?
x 600,000
clustering / ...
x 600,000
clustering / ...
different travelling
habits / abitudini
diversi
x 600,000
clustering / ...
different travelling
habits / abitudini
diversi
automated notifications / aggiornamento automatico
Mining Public Transport for Personalised
Intelligent Transport Systems
IEEE International Conference on
Data Mining, Sydney, December 2010
Recommending Social Events with
Mobile Phone Location Data
IEEE International Conference on
Data Mining, Sydney, December 2010
privacy?
Personalisation in
Intelligent Transport Systems:
The Prosumer Approach
Neal Lathia, Licia Capra
Dept of Computer Science
University College London
Pomigliano D'Arco – ATA Workshop
November 5, 2010

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ATA Workshop

  • 1. Personalisation in Intelligent Transport Systems: The Prosumer Approach Neal Lathia, Licia Capra Dept of Computer Science University College London Pomigliano D'Arco – ATA Workshop November 5, 2010
  • 2. three themes / tre temi 1. intelligent transport systems / sistemi di transporto intelligenti 2. personalisation / personalizzazione 3. prosumers / i prosumer
  • 3. 1. transport systems / sistemi di trasporto
  • 4. 1. intelligent / intelligenti
  • 5. information / l'informazione ● can help people travel / può aiutare chi viaggia ● encourages public transport usage / stimola l'uso dei mezzi publici mobile apps / applicazioni
  • 6. answered questions / domande già risposte how to travel from A to B? / come andare da A a B? what disruptions are there? / quali servizi non sono disponibili? how long does it take to travel? / quanto durerà il viaggio? what is there to see near my destination? / cosa c'e' vicino alla mia destinazione?
  • 7. individual preferences and differences are not accounted for / preferenze e differenze tra gli individui non sono prese in considerazione 2. personalisation / personalizzazione
  • 8. personalisation on the internet / personalizzazione in internet web services adapt to what you are interested in: news, music, movies, advertisements, e-commerce catalogues, search results / i servizi web si adattano ai tuoi interessi: notizie, musica, film, pubblicità, prodotti varie, risultati di ricerche recommender systems / sistemi di raccomandazione
  • 9. recommender system / sistemi di raccomandazione collaborative filtering / filtraggio collaborativo matrix / matrice prediction / predizioni
  • 10. recommender system / sistemi di raccomandazione applied to transport systems? / applicata ai sistemi di trasporto? we don't have traveller preferences / non abbiamo le preferenze dei viaggiatori 3. prosumers / i prosumer
  • 11. produce/consume what are “prosumers?” / cosa sono i “prosumer?”
  • 12. prosume what are “prosumers?” / cosa sono i “prosumer?” users who create useful data while using the system / utenti che creano dati utili mentre usano il sistema
  • 13. prosume implicit prosuming / prosuming implicito where, how, when, how often I travel / dove, quando, come, quanto spesso viaggio
  • 14. x 600,000 when do londoners travel? / quando viaggiano i londinesi? everyone is the same? / tutti sono uguali?
  • 16. x 600,000 clustering / ... different travelling habits / abitudini diversi
  • 17. x 600,000 clustering / ... different travelling habits / abitudini diversi
  • 18. automated notifications / aggiornamento automatico
  • 19. Mining Public Transport for Personalised Intelligent Transport Systems IEEE International Conference on Data Mining, Sydney, December 2010
  • 20. Recommending Social Events with Mobile Phone Location Data IEEE International Conference on Data Mining, Sydney, December 2010
  • 22. Personalisation in Intelligent Transport Systems: The Prosumer Approach Neal Lathia, Licia Capra Dept of Computer Science University College London Pomigliano D'Arco – ATA Workshop November 5, 2010