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| 1 | +package com.example; |
| 2 | + |
| 3 | +import java.sql.Connection; |
| 4 | +import java.sql.DriverManager; |
| 5 | +import java.sql.PreparedStatement; |
| 6 | +import java.sql.ResultSet; |
| 7 | +import java.sql.SQLException; |
| 8 | +import java.sql.Statement; |
| 9 | +import java.util.ArrayList; |
| 10 | +import com.pgvector.PGvector; |
| 11 | +import org.ankane.disco.Data; |
| 12 | +import org.ankane.disco.Dataset; |
| 13 | +import org.ankane.disco.Recommender; |
| 14 | + |
| 15 | +public class Example { |
| 16 | + public static void main(String[] args) throws Exception { |
| 17 | + Connection conn = DriverManager.getConnection("jdbc:postgresql://localhost:5432/pgvector_example"); |
| 18 | + Statement setupStmt = conn.createStatement(); |
| 19 | + setupStmt.executeUpdate("CREATE EXTENSION IF NOT EXISTS vector"); |
| 20 | + PGvector.addVectorType(conn); |
| 21 | + |
| 22 | + Statement createStmt = conn.createStatement(); |
| 23 | + createStmt.executeUpdate("DROP TABLE IF EXISTS users"); |
| 24 | + createStmt.executeUpdate("DROP TABLE IF EXISTS movies"); |
| 25 | + createStmt.executeUpdate("CREATE TABLE users (id integer PRIMARY KEY, factors vector(20))"); |
| 26 | + createStmt.executeUpdate("CREATE TABLE movies (name text PRIMARY KEY, factors vector(20))"); |
| 27 | + |
| 28 | + Dataset<Integer, String> data = Data.loadMovieLens(); |
| 29 | + Recommender<Integer, String> recommender = Recommender |
| 30 | + .builder() |
| 31 | + .factors(20) |
| 32 | + .fitExplicit(data); |
| 33 | + |
| 34 | + for (Integer userId : recommender.userIds()) { |
| 35 | + PreparedStatement insertStmt = conn.prepareStatement("INSERT INTO users (id, factors) VALUES (?, ?)"); |
| 36 | + insertStmt.setInt(1, userId); |
| 37 | + insertStmt.setObject(2, new PGvector(recommender.userFactors(userId).get())); |
| 38 | + insertStmt.executeUpdate(); |
| 39 | + } |
| 40 | + |
| 41 | + for (String itemId : recommender.itemIds()) { |
| 42 | + PreparedStatement insertStmt = conn.prepareStatement("INSERT INTO movies (name, factors) VALUES (?, ?)"); |
| 43 | + insertStmt.setString(1, itemId); |
| 44 | + insertStmt.setObject(2, new PGvector(recommender.itemFactors(itemId).get())); |
| 45 | + insertStmt.executeUpdate(); |
| 46 | + } |
| 47 | + |
| 48 | + String movie = "Star Wars (1977)"; |
| 49 | + System.out.printf("Item-based recommendations for %s\n", movie); |
| 50 | + PreparedStatement neighborStmt = conn.prepareStatement("SELECT name FROM movies WHERE name != ? ORDER BY factors <=> (SELECT factors FROM movies WHERE name = ?) LIMIT 5"); |
| 51 | + neighborStmt.setString(1, movie); |
| 52 | + neighborStmt.setString(2, movie); |
| 53 | + ResultSet rs = neighborStmt.executeQuery(); |
| 54 | + while (rs.next()) { |
| 55 | + System.out.println("- " + rs.getString("name")); |
| 56 | + } |
| 57 | + |
| 58 | + int userId = 123; |
| 59 | + System.out.printf("\nUser-based recommendations for user %d\n", userId); |
| 60 | + neighborStmt = conn.prepareStatement("SELECT name FROM movies ORDER BY factors <#> (SELECT factors FROM users WHERE id = ?) LIMIT 5"); |
| 61 | + neighborStmt.setInt(1, userId); |
| 62 | + rs = neighborStmt.executeQuery(); |
| 63 | + while (rs.next()) { |
| 64 | + System.out.println("- " + rs.getString("name")); |
| 65 | + } |
| 66 | + |
| 67 | + conn.close(); |
| 68 | + } |
| 69 | +} |
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