3. Topic0
japanese
Topic1
mexican
Topic2
brunch
Topic3
bar/atmosphe
re
Topic4
pizza
Topic 5
compliment
sushi tacos breakfast great pizza great
roll mexican coffee beer crust best
pita salsa eggs happyhour wings love
tuna burrito bacon bar thin good
salmon chips pancakes drinks pepperoni like
Topic6
indian
Topic7
asian
Topic8
fastfood
Topic9
sweets
Topic10
bbq
Topic 11
service(bad)
Indian Thai burger bagels cheese service
buffet pho fries cheese bbq didn’t
masala chinese potato best sauce never
naan soup onion ring smoothies chicken even
bianco curry dog Iove ribs back
LDA (Latent Dirichlet Allocation) 12 topics
4. Good restaurant: average star>3.5 Bad restaurant: average star<=3.5
Classification : Weight for each topic
Classifier Linear SVM Logistic
Regression
Random Forest
Accuracy in
Cross Validation 73.67% 81.19% 77.7%
5. Evaluation of Recommendation Error Using
Normalized Distance-based Performance Measure (NDPM)
R_1
R_2
R_3
R_4
R_5
R_3
R_1
R_4
R_5
R_2
Recom Actual Ranking
(ground truth)
Goal: Minimize the NDPM score