Recommender systems have become increasingly popular in recent years and are utilized in a variety of areas, including movies, music, news, books, research articles, search queries, marketplaces, social tags, and products in general. A platform with a recommender system—such as NetFlix, with movies; dating systems, with relationships; and Amazon, with books—makes the user experience exceptional. This presentation covers how to create a recommendation engine with Java EE to rocket your business.

1. Building a Recommendation
Engine with Java EE EE4J
Otávio Santana
@otaviojava
osantana@tomitribe.com
otaviojava@apache.org
Hilmer Chona
@hchona
hilac@msn.com
MedellinJUG.org

2. Evolution

3. Goods
● Land
● Gold
● Oil
● Information

4. Machines

5. The information is
not enough

6. Big Data

7. Web 3.0
Web Semantic

8. Next?

9. Recommendation

11. JCP

12. Ajax

13. Search

17. Collecting

18. Filtering

19. Stark
Rogers
Romanoff
Banners
Berlin
São Paulo
Moscow
San
Francisco
Medellin
Travel

20. Stark
Rogers
Romanoff
Banners
New York
São Paulo
Moscow
San
Francisco
Medellin
Travel
Business
Fun

21. Reasons why
travel
1. Fun
2. Conferences
3. Music
4. Geek Conf
5. Family
6. History
7. Language
8. Honeymoon
9. Work
10. Meetings
11. University
12. Shopping
13. Relax

22. More Information
name Tony Stark
nationality American
hero Iron man
power rich
when 2011
why Save the world
who flying
type Fun
name San Francisco
country USA
State California
Founded 1776
Travels

23. NoSQL
● Database
● Doesn't use structure
● Not Transaction
● BASE
● Types

24. Graph
● Neo4j
● InfoGrid
● Sones
● HyperGraphDB
Apollo Ares
Kratoswas killed by was killed by
Is brother
killed killed

25. SQL Key-value Column Document Graph
Table Bucket Column
Family
Collection
Row Key/value
pair
Column Document Vertex
Column Key/value
pair
Key/value pair Vertex and Edge
property
Relationship Link Edge
SQL vs NoSQL

26. Scalability vs Complexity
S
c
a
l
a
b
i
l
i
t
y
Complexity
key-value
Column
Document
Graph

27. Graph
Grace Hopper
label Person
id ada
name Ada Lovelace
occupation scientist
Ada Lovelace
label Person
id grace
name Grace Hopper
occupation scientist
Knows
Vertex Vertex
Edge

28. Graph Database

29. TinkerPop
http://tinkerpop.apache.org/

30. TinkerPop
Grace Hopper
label Person
id grace
name Grace Hopper
occupation scientist
Vertex
grace = graph.addVertex(
T.label, "person",
"id", "grace",
"name", "Grace Hopper",
"occupation", "scientist");

31. TinkerPop
Grace
Hopper
Ada
Lovelace
Knows
grace.addEdge("knows", ada);

32. Edges
Out ->
In <-
Both

33. Marketing
Campaign
● Engineer
● Salary 3000
● Age between 20 and 25 years

34. SQLId name Occupation Salary age gender
... ... ... ... ... ...
SELECT * FROM Person WHERE
occupation = "Engineer" AND
salary > 3000 and age BETWEEN 20
AND 25

35. TinkerPopGrace
Hopper
Ada
Lovelace
Knows
g.V().has("occupation","Engineer")
.has("salary", gt(3000))
.has("age", between(20, 25));

36. Their Friends

37. SQLId name Occupation Salary age gender
... ... ... ... ... ...
SELECT * FROM Person WHERE
occupation = "Engineer" AND
salary > 3000 and age BETWEEN 20
AND 25//...joins
Id know
... ...

38. TinkerPopGrace
Hopper
Ada
Lovelace
Knows
g.V().has("occupation","Engineer")
.has("salary", gt(3000))
.has("age", between(20, 25))
.out("knows");

39. Falling in love

40. SQLId name Occupation Salary age gender
... ... ... ... ... ...
SELECT * FROM Person WHERE
occupation = "Engineer" AND
salary > 3000 and age BETWEEN 20
AND 25//...joins
Id know
... ...
Id love
... ...

41. TinkerPopGrace
Hopper
Ada
Lovelace
Knows
g.V().has("occupation","Engineer")
.has("salary", gt(3000))
.has("age", between(20, 25))
.outE("knows")
.has("feel", "love")
.bothV();

42. JNoSQL
● Mapping API
● Communication API
● No lock-in
● Divide and conquer
DAO
Mapping
Communication
Document
Key
Column
Graph
DIANA
ARTEMIS
JNoSQL
Data Tier

43. Artemis● CDI Based
● Diana Based
● Annotation Based
● Events to insert, delete, update
● Supports to Bean Validation
● Configurable and Extensible
● Query Method

44. Graph Database

45. Graph
Poliana
label Book
age 2007
name The Shack
The Shack
label Person
name Poliana
age 25
reads
where Brazil

46. Graph
Person poliana = graphTemplate.insert(Person.builder()
.withName("Poliana").withAge(25).build());
Book shack =
graphTemplate.insert(Book.builder().withAge(2007)
.withName("The Shack").build());
EdgeEntity<Person, Book> reads =
graphTemplate.edge(poliana, "reads", shack);
reads.add("where", "Brazil");

47. Marketing
Campaign
● Engineer
● Salary 3000
● Age between 20 and 25 years

48. Developers
List<Person> developers = graph.getTraversalVertex()
.has("salary", gte(3_000D))
.has("age", between(20, 25))
.has("occupation", "Developer")
.<Person>stream().collect(toList());

49. Their Friends

50. People who developer knows
List<Person> result = graph.getTraversalVertex()
.has("salary", gte(3_000D))
.has("age", between(20, 25))
.has("occupation", "Developer")
.out("knows")

51. Falling in love

52. People who developer loves
List<Person> love = graph.getTraversalVertex()
.has("salary", gte(3_000D))
.has("age", between(20, 25))
.has("occupation", "Developer")
.outE("knows")
.has("feel", "love")
.bothV()
.<Person>stream()
.distinct()
.collect(toList());

53. Book Recommendation
Software
Romance
NoSQL
Java
Micro Services
Effective Java
The Shack
Migrating to
Microservice
Databases
NoSQL
Distilled

54. Software Categories
List<String> result = graph.getTraversalVertex()
.hasLabel("Category")
.has("name", "Software")
.in("is")
.hasLabel("Category").<Category>stream()
.map(Category::getName)
.collect(toList());

55. Query Method
interface PersonRepository extends Repository<Person, Long> {
List<Person> findByAddress(String address);
Stream<Person> findByName(String name);
Stream<Person> findByNameAndKnowsOutV(String name);
Stream<Person> findByNameAndBothV(String name, String label);
Optional<Person> findByNickname(String nickname);
void deleteByNickName(String nickname);
}

56. Demo
JNoSQL
Configuration
CDI 2.0 with Java SE
Neo4J + Docker

57. Thank You
Otávio Santana
@otaviojava
osantana@tomitribe.com
otaviojava@apache.org
Hilmer Chona
@hchona
hilac@msn.com