Python用户推荐系统曼哈顿算法实现,python曼哈顿,Python用户推荐系统
Python用户推荐系统曼哈顿算法实现,python曼哈顿,Python用户推荐系统
Python用户推荐系统曼哈顿算法实现
#-*- coding: utf-8 -*-import codecsfrom math import sqrtusers = {"Angelica": {"Blues Traveler": 3.5, "Broken Bells": 2.0, "Norah Jones": 4.5, "Phoenix": 5.0, "Slightly Stoopid": 1.5, "The Strokes": 2.5, "Vampire Weekend": 2.0}, "Bill":{"Blues Traveler": 2.0, "Broken Bells": 3.5, "Deadmau5": 4.0, "Phoenix": 2.0, "Slightly Stoopid": 3.5, "Vampire Weekend": 3.0}, "Chan": {"Blues Traveler": 5.0, "Broken Bells": 1.0, "Deadmau5": 1.0, "Norah Jones": 3.0, "Phoenix": 5, "Slightly Stoopid": 1.0}, "Dan": {"Blues Traveler": 3.0, "Broken Bells": 4.0, "Deadmau5": 4.5, "Phoenix": 3.0, "Slightly Stoopid": 4.5, "The Strokes": 4.0, "Vampire Weekend": 2.0}, "Hailey": {"Broken Bells": 4.0, "Deadmau5": 1.0, "Norah Jones": 4.0, "The Strokes": 4.0, "Vampire Weekend": 1.0}, "Jordyn": {"Broken Bells": 4.5, "Deadmau5": 4.0, "Norah Jones": 5.0, "Phoenix": 5.0, "Slightly Stoopid": 4.5, "The Strokes": 4.0, "Vampire Weekend": 4.0}, "Sam": {"Blues Traveler": 5.0, "Broken Bells": 2.0, "Norah Jones": 3.0, "Phoenix": 5.0, "Slightly Stoopid": 4.0, "The Strokes": 5.0}, "Veronica": {"Blues Traveler": 3.0, "Norah Jones": 5.0, "Phoenix": 4.0, "Slightly Stoopid": 2.5, "The Strokes": 3.0} }# Python计算曼哈顿距离 www.iplaypy.comdef manhattan(rate1,rate2): distance = 0 commonRating = False for key in rate1: if key in rate2: distance+=abs(rate1[key]-rate2[key]) commonRating=True if commonRating: return distance else: return -1 # python返回最近距离用户def computeNearestNeighbor(username,users): distances = [] for key in users: if key<>username: distance = manhattan(users[username],users[key]) distances.append((distance,key)) distances.sort() return distances#推荐python实现def recommend(username,users): #获得最近用户的name nearest = computeNearestNeighbor(username,users)[0][1] recommendations =[] #得到最近用户的推荐列表 neighborRatings = users[nearest] for key in neighborRatings: if not key in users[username]: recommendations.append((key,neighborRatings[key])) recommendations.sort(key=lambda rat:rat[1], reverse=True) return recommendations if __name__ == '__main__': print recommend('Hailey', users)
编橙之家文章,
相关内容
- Python用户推荐系统minkowski算法的实现,pythonminkowski,Py
- python获取网页时的解码问题解决,python获取网页解码
- 利用python将域名转换成IP 再扫描端口,pythonip,利用pyt
- 教你用Python编写一个拼写检查器,python编写拼写检查
- 用python来抓取知乎日报,python抓取知日报,今天来和大家
- 查看python源代码所依赖的模块,python源代码模块,查看
- python3 bs4 抓取豆瓣MM图片,,python3 bs4
- python编写 ElasticSearch 数据导入导出功能,,python编写
- python来查看Linux系统内存使用情况,pythonlinux,经常系统
- 无序的python字典中取文件倒数第几行,python第几行,无序
评论关闭