1. The document discusses analyzing anonymized location and payment data from mobile devices to predict user behavior and catch mobility patterns. 2. It notes failures to accurately predict user movements and the challenges of balancing privacy with useful analysis. 3. The concluding lines advertise an upcoming meetup focused on recommender systems.

1. @neal_lathia: cambridge computer lab

2. time-stamped locations,
modality, payments,
user categories
anonymised with
persistent user ids

3. '
(
)
%#
'*+,
%
-'
$#
$
#
! !
.#
'
,
3

4. '*+,
. 4
$
) 4
%
#
4
4
.
4
#
%# 4
/
%
$#
$
#
$ % . # / 0 1 2

5. 3
3

6. 5

7. 6
3
3

8. 7%

9. 3

10. 38
9
8
9

11. 38
9
8
9

12. 3
:

13. ;

14. =

15. 3
$
%6?
3
.#
#

16. @
$
@
%6?
3@
.#@!
#
?

17. @neal_lathia
Is #recsys your thing?
http://www.meetup.com/london-recsys/