2015-04 ebay statistics

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Welcome To Director of Engineering Search Science Recall & Spam April 23, 2015 BRIAN JOHNSON With more than 100 million active users globally, eBay is the world's largest online marketplace, where practically anyone can buy and sell practically anything. Founded in 1995, eBay connects a diverse and passionate community of individual buyers and sellers, as well as small businesses. Their collective impact on ecommerce is staggering: In 2014, the total value of goods sold on eBay was $82 billion -- more than $2,500 every second.

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Welcome To

Director of Engineering

Search Science Recall & Spam

April 23, 2015

BRIAN JOHNSON

With more than 100 million active users globally, eBay is

the world's largest online marketplace, where practically

anyone can buy and sell practically anything. Founded in

1995, eBay connects a diverse and passionate community

of individual buyers and sellers, as well as small

businesses. Their collective impact on ecommerce is

staggering: In 2014, the total value of goods sold on eBay

was $82 billion -- more than $2,500 every second.

EBAY OVERVIEW

http://www.ebayinc.com/who

DATA DRIVEN DECISIONSMETRICS & TESTING

We Are Data

Fish Sticks

Demand Category

42%

Business & Industrial > Electrical & Test Equipment > Electrical Equipment & Tools >

Electrical Tools > Cable Pullers

10% Business & Industrial > Construction > Building Materials & Supplies > Electrical

9% Home & Garden > Tools > Other

7% Pet Supplies > Fish & Aquariums > Fish Pond Supplies

6% Business & Industrial > Light Equipment & Tools > Air Tools > Staplers

Fishing Sticker

Demand Category

41%

eBay Motors > Parts & Accessories > Car & Truck Parts > Decals/Emblems/License

Frames > Decals & Stickers > Graphics Decals

28% Home & Garden > Home Decor > Decals, Stickers & Vinyl Art

12% Sporting Goods > Fishing > Novelties & Gifts

11% Sporting Goods > Fishing > Fishing Equipment > Decals, Stickers & Patches

3% Collectibles > Transportation > Automobilia > Decals & Stickers

Fish Stickers

Demand Category

53% Home & Garden > Home Decor > Decals, Stickers & Vinyl Art

24% Crafts > Scrapbooking & Paper Crafts > Embellishments > Stickers

16%

eBay Motors > Parts & Accessories > Car & Truck Parts > Decals/Emblems/License

Frames > Decals & Stickers > Graphics Decals

3% Sporting Goods > Fishing > Novelties & Gifts

1% Sporting Goods > Fishing > Fishing Equipment > Decals, Stickers & Patches

Why?

www.wallpapertimes.com

$’s per year in

incremental revenue

Measuring Differences - Control vs. Treatment Tests

Test 1 Test 2

Control Treatment1 Control Treatment2

10.0 10.0 9.9 10.1

10.0 10.0 10.0 10.2

10.0 10.0 10.2 9.8

10.0 10.0 9.9 10.2

10.0 10.0 9.9 10.0

10.0 10.0 10.0 10.1

10.0 10.0 9.8 10.1

10.0 10.0 9.9 10.2

10.0 10.0 9.8 10.0

11.0 100.0 10.0 9.8

Mean 10.1 19.0 9.9 10.1

Median 10.0 10.0 9.9 10.1

StDev 0.3 27 0.11 0.14

T-Test 0.17 0.04

Experimental Variation By Day

Experimental Variation By Metric

METRICS

•What should we optimize

–Page Views

–Time on Site

–Click Through Rate

–Normalized Discounted Cumulative Gain

–Purchases per User per Session/Day/Week

–Revenue per User per Session/Day/Week

–Net Promoter Score

•How likely would you be to recommend …?

REVENUE

Every business focuses on and measures revenue.

Every business focuses on profit and loss.

And they should.

Be Careful What You Optimize For…

Sales

Revenue ($)

Time

FEATURES / FACTORS

Measuring Similarity - Words in Common

Jaccard Similarity

We see two sets A and B . There are three elements in their intersection and a total of eight elements that

appear in A or B or both. Thus, JaccardSimilarity(A, B) = 2/5.

I

Love

Statistics

Am

Learning

A B

Similar Item Titles

9 words overlap

4 words different

13 words total

Jaccard Similarity is 9/13 or 0.69

THANKS!

QUESTIONS?

WE’RE HIRING

[email protected]

Measuring Similarity

http://blog.christianperone.com

Measuring Similarity

http://blog.christianperone.com

Compound/Decompound Expansions

Add “acidwash” > “acid wash”

Before After

Context Matters

Uncontexted expansions: cowboys cowboy

cowboys hats ≠ cowboy hats Plastic toy cowboys = plastic toy cowboy

Features: Mutual Information

• Rationale: The goal of this metric is determine if the co-occurrence of

the candidates in the description is significantly more than the

random chance of them co-occurring.

Features: Neighborhood Similarity

• Rationale: Two synonym candidates A and B, will tend to

have similar neighbors (viz keywords) surrounding them.

Intersection ( Neighbours(A) , Neighbours(b) )

Min (Neighbours(a), Neighbours(b))

Neighborhood similarity =

Features: KL divergence

• Rationale: Two synonym candidates will have similar

price and category distributions of their inventory.