Spring Data: Bridging Multiple Databases/

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Solution: Book Recommendation System

Solution: Book Recommendation System

Here's the solution to the book recommendation system challenge.

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Solution

Let’s discuss the solution for implementing a book recommendation system.

Create the Genre class

First, we create the Genre class in the com.smartdiscover.model package.

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package com.smartdiscover.model;
import lombok.Data;
import org.springframework.data.neo4j.core.schema.GeneratedValue;
import org.springframework.data.neo4j.core.schema.Id;
import org.springframework.data.neo4j.core.schema.Node;
import org.springframework.data.neo4j.core.support.UUIDStringGenerator;
@Data
@Node("Genre")
public class Genre {
    @Id
    @GeneratedValue(UUIDStringGenerator.class)
    private String id;
    private GenreText genreText;
    public Genre() {
    }
    public Genre(GenreText genreText) {
        this.genreText = genreText;
    }
    public enum GenreText {
        SCIENCE_FICTION,
        FICTION,
        THRILLER,
        ROMANCE,
        FANTASY,
        ADVENTURE,
        BIOGRAPHY,
        SELF_HELP,
        NONFICTION
    }
}

Code explanation:

  • Lines 9–11: We add annotations like @Data and @Node to transform a class into a Neo4j graph node.

  • Lines 13–15: We add the id identifier with the @Id and UUID generator annotations.

  • Lines 22–24: We add the parameterized constructor to accept genreText and create a new Genre object.

  • Lines 26–36: We create the GenreText enum with a few values like SCIENCE_FICTION, FICTION, and ...

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