This document discusses next generation recommender systems and how they are evolving from their origins on the web. It notes how recommender systems were born on the web to help with information overload but are now moving beyond the web to recommend television and share content on mobile devices. The document also outlines some research directions for next generation recommender systems, including incorporating more context like time, location, social networks and modeling richer user data.

1. Next Generation
Recommender Systems
Neal Lathia & Licia Capra

2. Recommender Systems:
why?

3. information overload

4. the age of discovery

5. Recommender Systems:
born on the web

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

7. http://www.netflixprize.com

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

9. Recommender Systems:
leaving the web behind

10. recommending television

11. sharing & discovering content on the move

12. Recommender Systems:
emerging from the web

16. Recommender Systems:
(some) research directions

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

18. 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.

19. Next Generation
Recommender Systems
Neal Lathia & Licia Capra