Material presented at the EC FET Open project NADINE review (2013), Université Paul Sabatier, Toulouse, France. Institution: Nomao

1. Data analysis for personalized local search
Estelle Delpech
Chief Science Officer
EC FET Open project NADINE review
´
Universite Paul Sabatier
14th november 2013

2. Plan
1. Nomao : book of good places (between friends)
2. Data analysis @ nomao
3. Ongoing projects

3. Nomao
book of good places (between friends)
www.nomao.com
Web and mobile applications
Find, keep and share good places
(restaurants, bars, shopping,
doctors...)
Personalized search :
recommendation, geolocation
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4. Web application
Off-line user : e-reputation
On-line user (FB) :
recommendation
– places that matches your
tastes
– places recommended by
your friends
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5. Mobile application
E-reputation
Recommendation
Geolocation-based search
Augmented reality
3 / 15

6. Nomao
´
Toulouse / Paris / Evreux /
Nantes / Chartres...
10 employees
2007 creation
2010 acquired by
Ebuzzing
Business model :
premium-rate numbers
2012 3 M visits / day
⇒ ECML, EGC, TALN, INFORSID, VSST, ICEIS, IEEE TNNLS ...
⇒ http://www.nomao.com/labs
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7. Plan
1. Nomao : book of good places (between friends)
2. Data analysis @ nomao
3. Ongoing projects

8. Data analysis @ nomao
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9. Data analysis @ nomao
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10. Data analysis @ nomao
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11. Data analysis @ nomao
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12. Places database creation
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13. Places database creation
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14. Data extraction
SOURCE 1
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SOURCE 2

´
: Les Caves de La Marechale
 TAGS : restaurant



 ADDRESS :



 street :



 city : Toulouse



 COMMENTS :



 rating : 4

text : ”I enjoyed most of the...”
NAME
7 / 15


´
: Caves de La Marechale SARL
 TAGS : french



 ADDRESS :



 street : Rue Jules Chalande



 city : Toulouse



 COMMENTS :



 rating : 2

text : ”Didn’t really liked the...”
NAME

15. Data integration
PLACE #5237890

´
: Les Caves de La Marechale
 TAGS : restaurant, french


 ADDRESS : street : Rue Jules Chalande

city : Toulouse


rating : 4, text : ”I enjoyed most of the...”
COMMENTS :
rating : 2, text : ”Didn’t really like the...”
NAME
8 / 15









16. Data analysis
PLACE #5237890
´
: Les Caves de La Marechale
 TAGS : restaurant, french

 CATEGORY : eating restaurant european french


 ADDRESS : street : Rue Jules Chalande

city : Toulouse


station : Capitole, distance : 304m
 SUBWAY :

station : Esquirol, distance : 192m


 COMMENTS : rating : 4, text : ”I enjoyed most of the...”

rating : 2, text : ”Didn’t really like the...”


 POSITIVE FEATURES : SERVICE : great staff

DISHES : delicious chocolate cake
E - REPUTATION : 79%

NAME
9 / 15





















17. Generated content
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18. Natural language description (translation)
´
`
R ESTAURANT L ES CAVES D E L A M AR E CHALE A TOULOUSE
´
The restaurant Les Caves de La Marechale in Toulouse invites
you to enjoy the best specialties of South-West France. This
restaurant is located Rue Jules Chalande in Toulouse. Esquirol
or Capitole are the closest subway stations to the restaurant.
You will have the possibility to enjoy an elegant atmosphere.
´
At Les Caves de La Marechale, credit card payment is
´
accepted. Close to Les Caves de La Marechale, you will find
the restaurant CAMUZET Georges Jean Andre, the restaurant
La Corde, the restaurant BMA and the restaurant Le Petit
Lord.
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19. Places recommendation
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20. Places recommendation
E-reputation sentiment analysis + ratings
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21. Places recommendation
E-reputation sentiment analysis + ratings
Affinity between place and user
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22. Places recommendation
E-reputation sentiment analysis + ratings
Affinity between place and user
collaborative filtering : places liked by people
who like the same places as the user
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23. Places recommendation
E-reputation sentiment analysis + ratings
Affinity between place and user
collaborative filtering : places liked by people
who like the same places as the user
descriptive profiling : places that have the
same tags as the places liked by the user
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24. Places recommendation
E-reputation sentiment analysis + ratings
Affinity between place and user
collaborative filtering : places liked by people
who like the same places as the user
descriptive profiling : places that have the
same tags as the places liked by the user
Social recommendation places liked by the user’s friends
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25. Search and ranking
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26. Search and ranking
Multi-criteria ranking :
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27. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
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28. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
Geographical proximity
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29. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
Geographical proximity
Content quality
13 / 15

30. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
Geographical proximity
Content quality
E-reputation
13 / 15

31. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
Geographical proximity
Content quality
E-reputation
Affinity between place and user
13 / 15

32. Search and ranking
Multi-criteria ranking :
Query ↔ place similarity
Geographical proximity
Content quality
E-reputation
Affinity between place and user
Social recommendation
13 / 15

33. Plan
1. Nomao : book of good places (between friends)
2. Data analysis @ nomao
3. Ongoing projects

34. Ongoing projects
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35. Ongoing projects
Learning-to-rank ranking model learnt from users’ actions (Ph.
D. thesis)
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36. Ongoing projects
Learning-to-rank ranking model learnt from users’ actions (Ph.
D. thesis)
Data fusion
source A → 05.61.23.89.88
source B → 05.62.48.33.90
which no is right ?
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37. Ongoing projects
Learning-to-rank ranking model learnt from users’ actions (Ph.
D. thesis)
Data fusion
source A → 05.61.23.89.88
source B → 05.62.48.33.90
which no is right ?
Text mining Name, address, phone number, etc. could be
directly extracted from the businesses websites
14 / 15

38. // Contact
estelle@nomao.com
// News
www.blog.nomao.fr