Catalog personalization

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The document discusses recommendation systems at the flash sales company Vente Privee. It describes how Vente Privee uses personalization to customize product recommendations on the home page and in emails for over 72 million users based on user interactions, demographics, and product popularity. The system tracks user interactions with products using various technologies like Cassandra and makes predictions every 20 minutes using collaborative filtering to generate a final ranked list of recommended products for each user.

Technology

Personalization and
Recommendation Systems at
vente-privee
Betty Moreschini
Software Engineer
@bettymoreschini
@vpTech #VPTech

|-
Vente-privee
28/06/2018 Recommendation Systems at vente-privee2
 Destocking from other brands
• 54 000 flash sales in 2017 (~150 per day)
• 7 000 brands
 Present in 14 countries
• 72M users (21M in France)
• 2M unique visitors / day

|-
VP Tech
28/06/2018 Recommendation Systems at vente-privee3
 500+ persons in IT department
 ↗273 in 2017
 Diversity of technologies
• C#
• GoLang
• JavaScript
• Android
• iOS
• Haskell
• Ruby on Rails
• Python
• Kafka
• Elasticsearch
• RabbitMQ
• Node.js
• AWS
• Kubernetes
• …
We are hiring!

|-
Data Science at vente-privee
Intermediate purchase order
Automated articles classification from pictures
Customization
• Home Page
• Order Confirmation email
• Similar articles
28/06/2018 Recommendation Systems at vente-privee4

|- 28/06/2018 Recommendation Systems at vente-privee5
Zoom on Customization

|- 28/06/2018 Recommendation Systems at Vente Privée6
← One day
carrousel
← B2B
ordering
rule

|-
Home Page Customization: Obstacles
28/06/2018 Recommendation Systems at vente-privee7
Business
• Conflicts between business and technology:
B2B rules in Home Page ordering
Technical
• Incomplete or incorrect classifications

|-
Home Page Customization: Impacts
28/06/2018 Recommendation Systems at vente-privee8
AB Test: 1 month, 6M users
Personnalisation with B2B rules
• Entry rate: +1.5%
• Conversion rate: +1.4%
Personnalisation without B2B rules
• Entry rate: +3.9%
• Conversion rate: +2.3%

|- 28/06/2018 Recommendation Systems at vente-privee9
Product Customization: Catalog Customization

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee10
Tracking
Recommendation
Aggregator
Member
Aggregator
Product
Aggregator
Popularity
Aggregator
Predict
Current
Operations
: Cassandra

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee10
Tracking : Cassandra

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee10
Product
Aggregator
User interaction with article
: Cassandra

|-
Product Aggregator
28/06/2018 Recommendation Systems at vente-privee11
User interacts with article
Member Product Score
Member1 Product1 32
Member1 Product2 2
Member1 Product3 12
Member2 Product8 8
Member1 Product1
33 +1

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee12
Member
Aggregator
User interaction with article
: Cassandra

|-
Member Aggregator
28/06/2018 Recommendation Systems at vente-privee13
User interacts with article
Member
Adult
Woman
Adult
Man
Kid Girl Kid Boy
Member1 41
Member2
Member3
Member1 Product1
42 +1

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee14
Popularity
Aggregator
User interaction with article
: Cassandra

|-
Popularity Aggregator
28/06/2018 Recommendation Systems at vente-privee15
User interacts with article
Product Popularity
Product1 353
Product2 56
Product3 280
Product1
354 +1

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee16
Predict
Every 20mn
: Cassandra

|-
Predict Algorithm: Collaborative Filtering
28/06/2018 Recommendation Systems at vente-privee17
Product1 Product2 Product3 Product4
Member1 52 32 - -
Member2 - 45 - 3
Member3 1 - 66 -
Member4 104 - - 85
Product1 Product2 Product3 Product4
Member1 52 32 33 2
Member2 20 45 12 3
Member3 1 52 66 23
Member4 104 2 3 85

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee18
Current
Operations
Every 15mn
: Cassandra

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee18
User signs in
Recommendation
Aggregator
Recommendation
Aggregator
Every 15mn
: Cassandra

|-
Recommendation Aggregator
28/06/2018 Recommendation Systems at vente-privee19
Final Score
Popularity
Demography
Affinity
Score
Diversification
Final Ranking

|-
Catalog Customization: Architecture
28/06/2018 Recommendation Systems at vente-privee20
Recommendation
Aggregator
Final DB
: Cassandra

|- 28/06/2018 Recommendation Systems at vente-privee21
What’s Next?

|-
Product Customization: Similar Products
28/06/2018 Recommendation Systems at vente-privee22
???

|-
Product Customization: Similar Products
28/06/2018 Recommendation Systems at vente-privee23

|-
What’s Next?
28/06/2018 Recommendation Systems at vente-privee24
Order Confirmation e-mail
Travel Customization
• Is this customer about to travel?
• Which destinations?

Thank you!
https://www.welcometothejungle.co/companies/vente-privee
@bettymoreschini
@vpTech #VPTech

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ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune. Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile. BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).

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Catalog personalization

1. Personalization and Recommendation Systems at vente-privee Betty Moreschini Software Engineer @bettymoreschini @vpTech #VPTech

2. |- Vente-privee 28/06/2018 Recommendation Systems at vente-privee2  Destocking from other brands • 54 000 flash sales in 2017 (~150 per day) • 7 000 brands  Present in 14 countries • 72M users (21M in France) • 2M unique visitors / day

3. |- VP Tech 28/06/2018 Recommendation Systems at vente-privee3  500+ persons in IT department  ↗273 in 2017  Diversity of technologies • C# • GoLang • JavaScript • Android • iOS • Haskell • Ruby on Rails • Python • Kafka • Elasticsearch • RabbitMQ • Node.js • AWS • Kubernetes • … We are hiring!

4. |- Data Science at vente-privee Intermediate purchase order Automated articles classification from pictures Customization • Home Page • Order Confirmation email • Similar articles 28/06/2018 Recommendation Systems at vente-privee4

5. |- 28/06/2018 Recommendation Systems at vente-privee5 Zoom on Customization

6. |- 28/06/2018 Recommendation Systems at Vente Privée6 ← One day carrousel ← B2B ordering rule

7. |- Home Page Customization: Obstacles 28/06/2018 Recommendation Systems at vente-privee7 Business • Conflicts between business and technology: B2B rules in Home Page ordering Technical • Incomplete or incorrect classifications

8. |- Home Page Customization: Impacts 28/06/2018 Recommendation Systems at vente-privee8 AB Test: 1 month, 6M users Personnalisation with B2B rules • Entry rate: +1.5% • Conversion rate: +1.4% Personnalisation without B2B rules • Entry rate: +3.9% • Conversion rate: +2.3%

9. |- 28/06/2018 Recommendation Systems at vente-privee9 Product Customization: Catalog Customization

10. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee10 Tracking Recommendation Aggregator Member Aggregator Product Aggregator Popularity Aggregator Predict Current Operations : Cassandra

11. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee10 Tracking : Cassandra

12. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee10 Product Aggregator User interaction with article : Cassandra

13. |- Product Aggregator 28/06/2018 Recommendation Systems at vente-privee11 User interacts with article Member Product Score Member1 Product1 32 Member1 Product2 2 Member1 Product3 12 Member2 Product8 8 Member1 Product1 33 +1

14. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee12 Member Aggregator User interaction with article : Cassandra

15. |- Member Aggregator 28/06/2018 Recommendation Systems at vente-privee13 User interacts with article Member Adult Woman Adult Man Kid Girl Kid Boy Member1 41 Member2 Member3 Member1 Product1 42 +1

16. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee14 Popularity Aggregator User interaction with article : Cassandra

17. |- Popularity Aggregator 28/06/2018 Recommendation Systems at vente-privee15 User interacts with article Product Popularity Product1 353 Product2 56 Product3 280 Product1 354 +1

18. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee16 Predict Every 20mn : Cassandra

19. |- Predict Algorithm: Collaborative Filtering 28/06/2018 Recommendation Systems at vente-privee17 Product1 Product2 Product3 Product4 Member1 52 32 - - Member2 - 45 - 3 Member3 1 - 66 - Member4 104 - - 85 Product1 Product2 Product3 Product4 Member1 52 32 33 2 Member2 20 45 12 3 Member3 1 52 66 23 Member4 104 2 3 85

20. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee18 Current Operations Every 15mn : Cassandra

21. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee18 User signs in Recommendation Aggregator Recommendation Aggregator Every 15mn : Cassandra

22. |- Recommendation Aggregator 28/06/2018 Recommendation Systems at vente-privee19 Final Score Popularity Demography Affinity Score Diversification Final Ranking

23. |- Catalog Customization: Architecture 28/06/2018 Recommendation Systems at vente-privee20 Recommendation Aggregator Final DB : Cassandra

24. |- 28/06/2018 Recommendation Systems at vente-privee21 What’s Next?

25. |- Product Customization: Similar Products 28/06/2018 Recommendation Systems at vente-privee22 ???

26. |- Product Customization: Similar Products 28/06/2018 Recommendation Systems at vente-privee23

27. |- What’s Next? 28/06/2018 Recommendation Systems at vente-privee24 Order Confirmation e-mail Travel Customization • Is this customer about to travel? • Which destinations?

28. Thank you! https://www.welcometothejungle.co/companies/vente-privee @bettymoreschini @vpTech #VPTech

Catalog personalization

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