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I know what you will buy next summer
1.
2. KU Leuven:
Commercial
Engineer
U Gent:
Master Marketing
Analysis
Dexia/Belfius:
Data Miner
La Redoute:
Marketing Analyst
IESEG: PhD
Candidate
Who am I?
2005 2010 2011 2014
11/24/2015 BAQMaR Conference: Futures Festival 2
3. KU Leuven:
Commercial
Engineer
U Gent:
Master Marketing
Analysis
Dexia/Belfius:
Data Miner
La Redoute:
Marketing Analyst
IESEG: PhD
Candidate
Who am I?
2005 2010 2011 2014
11/24/2015 BAQMaR Conference: Futures Festival 2
4. La Redoute: Home Shopping Retailer
BAQMaR Conference: Futures Festival 311/24/2015
5. La Redoute: Home Shopping Retailer
• Multi Product
BAQMaR Conference: Futures Festival 311/24/2015
6. La Redoute: Home Shopping Retailer
• Multi Product
BAQMaR Conference: Futures Festival 311/24/2015
7. La Redoute: Home Shopping Retailer
• Multi Channel
BAQMaR Conference: Futures Festival 411/24/2015
8. La Redoute: Home Shopping Retailer
• Multi Channel
BAQMaR Conference: Futures Festival 411/24/2015
9. La Redoute: Home Shopping Retailer
• Multi Channel
BAQMaR Conference: Futures Festival 411/24/2015
10. La Redoute: Home Shopping Retailer
• Multi Channel
BAQMaR Conference: Futures Festival 411/24/2015
11. La Redoute: Home Shopping Retailer
• Multi Channel
BAQMaR Conference: Futures Festival 411/24/2015
12. La Redoute: Facts and Figures
BAQMaR Conference: Futures Festival 511/24/2015
13. La Redoute: Facts and Figures
BAQMaR Conference: Futures Festival 511/24/2015
14. La Redoute: Facts and Figures
BAQMaR Conference: Futures Festival 611/24/2015
15. La Redoute: Strong Competition
BAQMaR Conference: Futures Festival 711/24/2015
16. La Redoute: Strong Competition
BAQMaR Conference: Futures Festival 711/24/2015
17. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
BAQMaR Conference: Futures Festival 811/24/2015
18. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
BAQMaR Conference: Futures Festival 811/24/2015
19. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
BAQMaR Conference: Futures Festival 811/24/2015
20. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
BAQMaR Conference: Futures Festival 811/24/2015
21. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
Personalized offering with the advantages of mass consumption.
BAQMaR Conference: Futures Festival 811/24/2015
22. Mass personalization society (Wind,
2001, JIM)• Mass Consumption
• Personalized offering
• Mass personalization
Personalized offering with the advantages of mass consumption.
People expect mass personalization. Globalization and e-commerce are factors
making this shift possible.
BAQMaR Conference: Futures Festival 811/24/2015
23. Mass personalization society
• Paradox of choice (Tamaki 2005, LATimes; Girish
2007 JIM)
BAQMaR Conference: Futures Festival 911/24/2015
24. Mass personalization society
• Paradox of choice (Tamaki 2005, LATimes; Girish
2007 JIM)
+ Client are better informed
• Globalization and internet
• Enormous choice possibilities
BAQMaR Conference: Futures Festival 911/24/2015
25. Mass personalization society
• Paradox of choice (Tamaki 2005, LATimes; Girish
2007 JIM)
+ Client are better informed
• Globalization and internet
• Enormous choice possibilities
+ A customer could find a product/service satisfying his/her
needs
BAQMaR Conference: Futures Festival 911/24/2015
26. Mass personalization society
• Paradox of choice (Tamaki 2005, LATimes; Girish
2007 JIM)
+ Client are better informed
• Globalization and internet
• Enormous choice possibilities
+ A customer could find a product/service satisfying his/her
needs
– Client is overwhelmed by the enormous choice
• Hard to make an (optimal) purchase decision
BAQMaR Conference: Futures Festival 911/24/2015
27. Mass personalization society
• Paradox of choice (Tamaki 2005, LATimes; Girish
2007 JIM)
+ Client are better informed
• Globalization and internet
• Enormous choice possibilities
+ A customer could find a product/service satisfying his/her
needs
– Client is overwhelmed by the enormous choice
• Hard to make an (optimal) purchase decision
→Recommendation Systems
BAQMaR Conference: Futures Festival 911/24/2015
34. Recommendation Systems?
• A definition [Ricci et al. 2011]
Recommender Systems are software tools and
techniques providing personalized suggestions for
items to be of use to a user. The suggestions,
based a customer’s profile or his behavior, relate
to various decision-making processes.
BAQMaR Conference: Futures Festival 1611/24/2015
35. Recommendation Systems?
• A data science description
A recommendation system is a customer centric
view to recommend personalized sets of products
to clients using data science. This contrasts to the
classical PTB models which are applied in product
centric approaches.
BAQMaR Conference: Futures Festival 1711/24/2015
36. What is it not?
BAQMaR Conference: Futures Festival 1811/24/2015
37. What is it not?
BAQMaR Conference: Futures Festival 1811/24/2015
38. What is it not?
BAQMaR Conference: Futures Festival 1911/24/2015
39. What is it not?
BAQMaR Conference: Futures Festival 1911/24/2015
40. What is it not?
BAQMaR Conference: Futures Festival 2011/24/2015
41. What is it not?
BAQMaR Conference: Futures Festival 2011/24/2015
42. What data to use?
BAQMaR Conference: Futures Festival 2111/24/2015
43. What data to use?
BAQMaR Conference: Futures Festival 2111/24/2015
44. What data to use?
BAQMaR Conference: Futures Festival 2111/24/2015
45. What data to use?
BAQMaR Conference: Futures Festival 2111/24/2015
46. What data to use?
BAQMaR Conference: Futures Festival 2111/24/2015
68. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
69. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
70. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
Product Information
Content-based RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
71. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
Product Information
Content-based RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
72. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
Product Information
Content-based RecSys
Context (location weather,
etc.)
Context-based RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
73. Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
Product Information
Content-based RecSys
Context (location weather,
etc.)
Context-based RecSys
Real-time path analysis
Knowledge-based RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
74. Combining different algorithms and/or data
sources
Hybrid RecSys
Identification
Identification
Socio Demographics
Raincoat
Men
Sport
Blue
Men Suits
Accessory Red
Men Suits
Vest Dark Blue
Men Suits
Shoes Brown
Men Jacket
Raincoat Red
Men Jacket
Raincoat Blue
Men Jacket
Raincoat Blue
Behavioral history and
Look-a-likes
Collabotative RecSys
Socio-demographics and
segmentation
Demographic RecSys
Social media
Social RecSys
Product Information
Content-based RecSys
Context (location weather,
etc.)
Context-based RecSys
Real-time path analysis
Knowledge-based RecSys
BAQMaR Conference: Futures Festival 24
Recommendation Zone
11/24/2015
75. Applied to La Redoute
• E-mail personalization system: returning visit
BAQMaR Conference: Futures Festival 2511/24/2015
76. Applied to La Redoute
• E-mail personalization system: returning visit
• Let’s do the math:
7 million unique visitors a month 233 k visitors a day
150 k identified (e-mail)
250 k products, of which 50 k in recommendation scope
7.5 billion recommendation scores on average a day
BAQMaR Conference: Futures Festival 2511/24/2015
77. Applied to La Redoute
• E-mail personalization system: returning visit
• Let’s do the math:
7 million unique visitors a month 233 k visitors a day
150 k identified (e-mail)
250 k products, of which 50 k in recommendation scope
7.5 billion recommendation scores on average a day
• Possible extension to the site
Real-time recommendations
BAQMaR Conference: Futures Festival 2511/24/2015
78. • Input Data
• Modeling techniques
Applied to La Redoute
BAQMaR Conference: Futures Festival 2611/24/2015
79. • Input Data
• Modeling techniques
Applied to La Redoute
BAQMaR Conference: Futures Festival 26
Socio-demographics and
segmentation
Demographic RecSys
Behavioral history and
Look-a-likes
Collabotative RecSys
Product Information
Content-based RecSys
11/24/2015
80. • Input Data
• Modeling techniques
Applied to La Redoute
BAQMaR Conference: Futures Festival 26
Socio-demographics and
segmentation
Demographic RecSys
Behavioral history and
Look-a-likes
Collabotative RecSys
Product Information
Content-based RecSys
Hierarchical Hybrid Model
Combination of scores
SVM, LR, DT, PM
Factorization Machine
Use all different data sources as input for Factorization Machine
11/24/2015
88. Added Value
• Customer
• Company
BAQMaR Conference: Futures Festival 29
> 75% of items watched on Netflix
50% of LinkedIn connections
11/24/2015
89. Thank you for
your Attention
Contact:
Stijn Geuens (0)3.20.545.892
IESEG School of Management s.geuens@ieseg.fr
3 Rue de la Digue fr.linkedin.com/pub/stijn-geuens/
F-59000 Lille stijn.geuens