tigo/recommendation

v0.0.2 2021-02-23 02:18 UTC

This package is auto-updated.

Last update: 2024-09-06 22:09:01 UTC


README

协同过滤推荐系统

  • 基于点赞/点踩或星级评级的排名算法
  • 此包可用于任何PHP应用程序或任何框架。
  • 下载包: composer require tigo/recommendation
  • MIT许可证。 请随意使用此项目留下星标⭐或创建分支!

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入门指南

从composer开始

  1. 安装composer
  2. 下载包: composer require tigo/recommendation
  3. PHP >= 7.0;已测试的版本:7.2.25,7.3.23和8.0.1。
//Somewhere in your project, you may need to use autoload
include __DIR__ ."/vendor/autoload.php";

算法

  • 排名
  • 欧几里得
  • 斜率一

简介

使用协同过滤推荐产品

   /**  
     $table gets the array from the database.
     $user is the foreign key that represents the user who will receive the recommendation.
   **/
   use Tigo\Recommendation\Recommend; // import class
   $client = new Recommend();
   $client->ranking($table,$user); //optional third parameter refers to the score not accepted
   $client->euclidean($table,$user); //optional third parameter refers to the minimum accepted score
   $client->slopeOne($table, $user); //optional third parameter refers to the minimum accepted score

配置

有时,可能需要重命名常量的值(根据您的数据库表)。

example

  • 配置:标准键(目录:./src/configuration/StandardKey.php
    const SCORE = 'score'; //score  
    const PRODUCT_ID = 'product_id'; //Foreign key
    const USER_ID = 'user_id'; //Foreign key 

示例

算法的一个简单的教学演示

  /**
     Example using "rating: liked and disliked"
     like: score = 1;  dislike: score = 0
  **/
   $table = [
        ['product_id'=> 'A',
         'score'=> 1, 
         'user_id'=> 'Pedro'
        ],
        ['product_id'=> 'B',
         'score'=> 1, 
         'user_id'=> 'Pedro'
        ],
        ['product_id'=> 'A',
         'score'=> 1, 
         'user_id'=> 'João'
        ],
        ['product_id'=> 'B',
         'score'=> 1, 
         'user_id'=> 'João'
        ],
        ['product_id'=> 'C',
         'score'=> 1, 
         'user_id'=> 'João'
        ]
  ];
  use Tigo\Recommendation\Recommend; // import class
  $client = new Recommend();
  print_r($client->ranking($table,"Pedro")); // result = ['C' => 2] 
  print_r($client->ranking($table,"Pedro",1)); // result = []; 
  
  print_r($client->euclidean($table,"Pedro")); // result = ['C' => 1]
  print_r($client->euclidean($table,"Pedro", 2)); // result = [] ;  
  
  print_r($client->slopeOne($table,'Pedro')); // result = ['C' => 1]
  print_r($client->slopeOne($table,'Pedro', 2)); // result = []

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许可证

MIT许可证。请参阅存档 许可证