Vincius Zambaldi

Towards Glass-Box Recommenders: Intelligible Recommendation of

Happy Activities

MotivaoBLACK BOX society

~ 1M ANSWERS~ 20k USERS

ACTIVITIES

CONTEXTS

Quantify Happiness

H = S + C + VH = S + C + VV = H - SV = H - avg[hi]

11M checkins42k venues

1.2M photosGEOtAG

METADATA

Bayesian rule lists

user based collaborative filtering

clustering

cold start

saturday, do_chat, afternoon 0.76 (0.67,0.84)friday, do_booze, do_chat, evening 0.87 (0.77,0.94)saturday, with_friend, do_chat 0.91 (0.81,0.97)tuesday, with_friend, evening 0.87 (0.78,0.94)do_COFFEE, with_partner', evening 0.80 (0.65,0.91)sunday, with_friend, afternoon 0.81 (0.70,0.89)wednesday, evening, do_travel 0.34 (0.25,0.43)

DATASET RFLICKR ONLY 0.13FOURSQUARE ONLY 0.25BOTH 0.33

2

- Recursive feature elimination- lasso

Final variables: fsq: # checkins, # users, # placesflickr: # views, # comts

Area happiness predition from OSN

THANKS!QUESTIONS ?