BSkyB - UCL Collaboration Workshop

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Neal Lathia

Educação Negócios

source: O. Celma & P. Lamere “Music Recommendation Tutorial” ISMIR 2007

Users who have been
like-minded in the
past will be like-
minded in the future.

Recommender Systems:
leaving the web behind

sharing & discovering content on the move

Recommender Systems:
emerging from the web

Recommender Systems:
(some) research directions

context
time, location, social networks,
groups, niche tastes,
mobility

Richer modelling of
users, and the data
they provide us
about their tastes:

accounting for
social connectivity,
location, time,
what is being
recommended:
context-aware
recommendations.

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