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Problem:What & Where to eat?
Mei Gao
imfeelinghungryy.com
Topic0japanese
Topic1mexican
Topic2brunch
Topic3bar/atmosphere
Topic4pizza
Topic 5compliment
sushi tacos breakfast great pizza great
roll mexican coffee beer crust best
pita salsa eggs happy hour wings love
tuna burrito bacon bar thin good
salmon chips pancakes drinks pepperoni like
Topic6indian
Topic7asian
Topic8fast food
Topic9sweets
Topic10bbq
Topic 11bad service
indian thai burger bagels cheese service
buffet pho fries cheese bbq didn’t
masala chinese potato best sauce never
naan soup onion rings smoothies chicken even
bianco curry dog Iove ribs back
LDA (Latent Dirichlet Allocation) 12 topics
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%
Very deep learning for image ranking
Training
Validation Normalized Distance-based Performance Measure (NDPM)
R_2
R_5
R_1
R_3
R_4
R_1
R_2
R_3
R_4
R_5
Recom Actual Ranking(ground truth)
Minimize NDPM score
Goal:Restaurant Recommendation
Image Recommendation
Mei Gao
Deep hierarchical abstraction Learning structure of images
Deep learning for image ranking
Assessment of LDABOW (Bag of Words) LDA
Feature Dimension 10000 words in dictionary 15 topics
>99% dimension reduction
Computation Efficiency 2.5 hrs 15 min
>90% computation
time
(2000 samples)(10 fold cross validation)
Topic0 Topic1 Topic2 Topic3 Topic4
Japanese Mexican brunch Bar/ pizzaAtmosphere
sushi tacos breakfast great pizza
roll mexican coffee beer crust
pita salsa eggs happyhour wings
tuna burrito bacon bar thin
salmon chips pancakes drinks pepperoni
Topic5 Topic6 Topic7 Topic8 Topic9
Indian Asian fastfood sweets bbq
Indian Thai burger bagels cheese
buffet Pho fries cheese bbq
masala Chinese potato best sauce
naan soup Onion ring smoothies chicken
bianco curry dog Iove ribs
LDA (Latent DiriChlet Allocation) 15 topics
Topic 10: ComplimentGreat, best, live, good, like
Topic 11: Service ( Bad)Service, didn’t, never, even, back
3%
4%
10%
4%
5%
29%
20%
6%
3%
16%
Percentage
others Japanese Mexican Brunch barService compliment Asian fastfood bbq
Evaluation of Recommendation Error Using Normalized Distance-based Performance Measure (NDPM)
R_2
R_5
R_1
R_3
R_4
R_1
R_2
R_3
R_4
R_5
Recom Actual Ranking(ground truth)
Evaluation of Recommendation Error Using Normalized Distance-based Performance Measure (NDPM)
R_2
R_5
R_1
R_3
R_4
R_1
R_2
R_3
R_4
R_5
Recom Actual Ranking(ground truth)
Minimize NDPM score
Goal:
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