Personalisation, Recommender Systems
SSE - CREST Workshop October 1, 2010
1. introductions
●   licia capra

●   neal lathia (me)
●   giovanni quattrone

●   michalis christodoulou
●   afra mashhadi
●   lucia del p...
2. research perspective
people
i seek   places
         things
         events
         information
connect   information
          systems
          people,places,
          things,events,info
information
               systems
extract from   people,places,
               things,events,info
information
            systems
insert to   people,places,
            things,events,info
produce/consume
                  information
                  systems
                  people,places,
                 ...
prosume
          information
          systems
          people,places,
          things,events,info
mobile services
people,places,
things,events, info




                      information
                      systems
   ...
social context
urban context
data-centric research
            preferences
        digital footprints
        social connections
information is
              abundant
     ubiquitously accessible
           heterogeneous
        widely distributed
an example
an example



             information is
                       abundant
              ubiquitously accessible
          ...
an example
an example
x 600,000
how do we use the system?
x 600,000
how do we (group) use the system?
x 600,000
how do we (people) use the system?
x 600,000
what can we do with this data?
x 600,000
what can we do with this data?

address information abundance:
●   filter, personalise, rank
●   implicit behavi...
3. discussion/relevance
1. social computing techniques
are starting to be used to solve
software engineering tasks
2. can software engineering
techniques be used to solve
social computing tasks?
opportunities

●   we look at similar problems, in
    different contexts

●   we use similar terms, but with
    differen...
opportunities

●   data collection vs. requirements
    engineering

●   context-awareness vs. task-
    orientation

●   ...
Personalisation, Recommender Systems
SSE - CREST Workshop October 1, 2010
find me: @neal_lathia
http://www.cs.ucl.ac.uk/st...
CREST/SSE Workshop
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CREST/SSE Workshop

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Can Software Systems Engineers collaborate with Social Computing Scientists?

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CREST/SSE Workshop

  1. 1. Personalisation, Recommender Systems SSE - CREST Workshop October 1, 2010
  2. 2. 1. introductions
  3. 3. ● licia capra ● neal lathia (me) ● giovanni quattrone ● michalis christodoulou ● afra mashhadi ● lucia del prete ● valentina zanardi ● more tba
  4. 4. 2. research perspective
  5. 5. people i seek places things events information
  6. 6. connect information systems people,places, things,events,info
  7. 7. information systems extract from people,places, things,events,info
  8. 8. information systems insert to people,places, things,events,info
  9. 9. produce/consume information systems people,places, things,events,info
  10. 10. prosume information systems people,places, things,events,info
  11. 11. mobile services people,places, things,events, info information systems people,places, things,events,info
  12. 12. social context
  13. 13. urban context
  14. 14. data-centric research preferences digital footprints social connections
  15. 15. information is abundant ubiquitously accessible heterogeneous widely distributed
  16. 16. an example
  17. 17. an example information is abundant ubiquitously accessible heterogeneous widely distributed
  18. 18. an example
  19. 19. an example
  20. 20. x 600,000 how do we use the system?
  21. 21. x 600,000 how do we (group) use the system?
  22. 22. x 600,000 how do we (people) use the system?
  23. 23. x 600,000 what can we do with this data?
  24. 24. x 600,000 what can we do with this data? address information abundance: ● filter, personalise, rank ● implicit behaviours to relevant, accurate, (timely) notifications
  25. 25. 3. discussion/relevance
  26. 26. 1. social computing techniques are starting to be used to solve software engineering tasks
  27. 27. 2. can software engineering techniques be used to solve social computing tasks?
  28. 28. opportunities ● we look at similar problems, in different contexts ● we use similar terms, but with different interpretations ● we adopt different solutions, that may be applicable
  29. 29. opportunities ● data collection vs. requirements engineering ● context-awareness vs. task- orientation ● scalability (machine learning) vs. scalability (systems engineering)
  30. 30. Personalisation, Recommender Systems SSE - CREST Workshop October 1, 2010 find me: @neal_lathia http://www.cs.ucl.ac.uk/staff/n.lathia

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