Post on 09-Aug-2015
True Fit Skin Care
Chang Liu
Fellow at Insight Data Science 2014
So many products…
What makes it so hard? Overwhelming information
So many products… So many reviews…
What makes it so hard? Overwhelming information
So many products… So many reviews…
What makes it so hard? Overwhelming information
Reviews can be so long…
So many products… So many reviews…
What makes it so hard? Overwhelming information
Reviews can be so long…
So many ingredients…
So many products… So many reviews…
Time spent
Moneywasted
Happiness
What makes it so hard? Overwhelming information
Reviews can be so long…
So many ingredients…
32k Reviewers• w/ 2+ reviews
~1200 Products• ~80 brands• 8 categories
184k Reviews• Rating [1-5]• Review text• Quick take
Collaborative Filter using User Reviews from Sephora.com
Product
X Y …
Reviewers
1 …
2 …
3 …
… …
… …
N …
Algorithm: • Item-centric collaborative filter• Pearson’s correlation coefficients
to measure pairwise similarity
32k Reviewers• w/ 2+ reviews
~1200 Products• ~80 brands• 8 categories
184k Reviews• Rating [1-5]• Review text• Quick take
Collaborative Filter using User Reviews from Sephora.com
Product
X Y …
Reviewers
1 …
2 …
3 …
… …
… …
N …
Algorithm: • Item-centric collaborative filter• Pearson’s correlation coefficients
to measure pairwise similarity
32k Reviewers• w/ 2+ reviews
~1200 Products• ~80 brands• 8 categories
184k Reviews• Rating [1-5]• Review text• Quick take
Collaborative Filter using User Reviews from Sephora.com
Product
X Y …
Reviewers
1 …
2 …
3 …
… …
… …
N …
Algorithm: • Item-centric collaborative filter• Pearson’s correlation coefficients
to measure pairwise similarity
Cross Validation• 5-fold for reviewer• Leave-one-out for product• Accuracy = 86.3% ± 1%
Visualize the similarity matrix
White = high similarityBlack = low similarity
Sorted by brandsalphabetically
White in a square=
Users reviews are similar for all products in a brand
=Strong customer loyalty
There are structures!
“Organic & Natural”
Expensive!
There are structures! For example…
Cost effective
There are structures! For example…
Actionable InsightsFor Sephora.com:Send marketing emails to new customers of brands with stronger customer loyalty!
“Organic & Natural”
Expensive!
Cost effective
Chang LiuPhD. in Civil Engineering @CMUJ8D8L5@gmail.comlinkedin.com/in/changliucmu github.com/R4trtry
Is the rating a good measure of reviewers’ perspective?
• Trained a NaïveBaysian classifier for sentiment analysis
• W/ 250 thousand reviews from Birchbox.com
• A website that sends out free samples from smaller brands and gathers massive user reviews
Most common words Most informative feature
Word Count Negative Positive
skin 91349 re-wash Penny
product 82481 garbage hook
use 64044 mediocre gorgeous
love 55691 ketchup perk
feel 47879 trash stock
face 42615 unimpressive glowing
like 41427 survey splurge
great 34155 ineffective effortless
really 31672 gag Christmas
smell 27621 worthless happily
textquick take
Precision 95.3% 85.4%Recall 89.8% 93.1%
Worth every penny!
Another Validation
Is the rating a good measure of reviewers’ perspective?
Another Validation
Product X
Product Y
similarity 87.4%
Product X
Product Y
11
11
11
11
11
11
Reviewers
Product
X Y …
1 …
2 …
3 …
… …
… …
N …
Algorithm: Item-centric collaborative filter