推荐系统笔记——推荐引擎之实现基础（一）

柔情只为你懂 2022-03-18 10:49 212阅读 0赞

## 推荐系统 ##

定义：通过人工或非人工方法向用户建议购买/浏览物品的有规律行为

## 推荐引擎模块 ##

推荐引擎模块由三部分组成：接收请求、处理请求、返回结果

## 制造日志 ##

一般推荐日志log：字段1&字段2&字段3&字段4&……

制造一个简单的日志：

日志格式：cookie&uid&user\_agent&ip&video\_id&topic&order\_id&log\_type

日志种类log\_type：点击1、播放2、点赞3、收藏4、付费观看5、站外分享6、评论7

def produce():
        print("start")
        for num in range(0,100):
            print(num)
            cookie = "oneone"
            uid = "first_blood"
            user_agent = "Macintosh Chrome Safari"
            ip = "1.1.1.1"
            video_id = "898923"
            topic = "苹果发布会"
            order_id = "0"
            log_type = "1"
            
            final = cookie+"&"+uid+"&"+user_agent+"&"+ip+"&"+video_id+"&"+topic+"&"+order_id+"&"+log_type
            print(final)
            
    produce()

制造一个较复杂的日志，并写入文件：

import random
    user_list = ["one","two","three","four","five"]
    albet_num = ["a","b","c","d","e","f","g","h",'I','G','K','L','M','1','2','3','4','5']
    log_type_array = ["1","2","3","4","5","6","7"]
    
    def produce():
        print("start")
        file_object = open('./logfile.txt','w') #写到文件中
        for num in range(0,2000):
            cookie = ''.join(random.sample(albet_num, 6)) #''.join(random.sample(albet, 5))
            uid = ''.join(random.sample(user_list, 1))
            user_agent = "Macintosh Chrome Safari"
            ip = "1.1.1.1"
            video_id = "898923"
            topic = "苹果发布会"
            order_id = "0"
            log_type = ''.join(random.sample(log_type_array, 1))
            
            final = cookie+"&"+uid+"&"+user_agent+"&"+ip+"&"+video_id+"&"+topic+"&"+order_id+"&"+log_type
            file_object.write(final+'\n')
        file_object.close()
        
    produce()

retargeting营销：电商重定向、电影重定向、文章重定向

重定向：对用户发生过行为（如浏览，购买）的商品进行二次推荐，最大化用户对其进行消费概率

## 处理日志 ##

处理日志种类为点击的日志：

click_action = {} #字典 key uid  value video_ids
    file = open('./logfile.txt')
    for line in file.readlines():
        #print(line)
        line = line.strip() #去掉空格
        ls = line.split("&")
        if ls[7] != "1":
            continue
        if ls[1] not in click_action.keys():
            click_action[ls[1]] = []
        click_action[ls[1]].append(ls[4])
        print(ls[1]+'\t'+ls[4])
    file.close() 
    # 显示
    for k,v in click_action.items():
        print(k+ "\t" + str(len(v)) + "\t" + str(v))