Next Generation
Recommender Systems
Neal Lathia & Licia Capra

Recommender Systems:
why?

information overload

the age of discovery

Recommender Systems:
born on the web

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

http://www.netflixprize.com

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

Recommender Systems:
leaving the web behind

recommending television

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.

Next Generation
Recommender Systems
Neal Lathia & Licia Capra