r - 在推荐实验室中使用用户 ID 进行预测
问题描述
我有一个相当简单的推荐问题:我想在 R 中构建一个混合推荐器,在其中我推荐数据集中recommenderlab
已经喜欢的电影以及流行电影和一些随机电影。MovieLense
library(recommenderlab)
data("MovieLense")
MovieLense100 <- MovieLense[rowCounts(MovieLense) > 100,]
train <- MovieLense100[1:100]
test <- MovieLense100[101:103]
## mix popular movies with a random recommendations for diversity and
## rerecommend some movies the user liked.
recom <- HybridRecommender(
Recommender(train, method = "POPULAR"),
Recommender(train, method = "RANDOM"),
Recommender(train, method = "RERECOMMEND"),
weights = c(.6, .1, .3)
)
当我训练完模型后,我想使用 userId 为给定用户“预测”电影。Recommenderlab 文档建议,只要用户 ID 在训练数据中,这是可能的。但是,当我尝试使用userid
in 进行预测时,newdata
会收到以下错误消息:
as(predict(object = recom, newdata = 1), "list")
#> Error in object@predict(object@model, newdata, n = n, data = data, type = type, : If newdata is a user id then data needes to be the training dataset.
很公平,我尝试使用向量:
as(predict(recom, newdata = c(1,5)), "list")
#> Error in object@predict(object@model, newdata, n = n, data = data, type = type, : If newdata is a user id then data needes to be the training dataset.
无法真正弄清楚此错误消息的含义。有人知道吗?
解决方案
您只需要准确说明您正在从训练数据集中向一个或多个用户推荐项目,如下所示:
> as(predict(recom, 1, data = train), "list")
$`1`
[1] "Hearts and Minds (1996)" "Boys, Les (1997)" "Great Day in Harlem, A (1994)"
[4] "Dangerous Beauty (1998)" "Tough and Deadly (1995)" "Two or Three Things I Know About Her (1966)"
[7] "Santa with Muscles (1996)" "Margaret's Museum (1995)" "Brassed Off (1996)"
[10] "Thousand Acres, A (1997)"
> as(predict(recom, 1:10, data = train), "list")
$`1`
[1] "Dangerous Beauty (1998)" "Great Day in Harlem, A (1994)" "Hearts and Minds (1996)"
[4] "Boys, Les (1997)" "Santa with Muscles (1996)" "Two or Three Things I Know About Her (1966)"
[7] "Tough and Deadly (1995)" "Saint of Fort Washington, The (1993)" "Whole Wide World, The (1996)"
[10] "Margaret's Museum (1995)"
$`5`
[1] "Boys, Les (1997)" "Two or Three Things I Know About Her (1966)" "Santa with Muscles (1996)"
[4] "Dangerous Beauty (1998)" "Great Day in Harlem, A (1994)" "Whole Wide World, The (1996)"
[7] "Hearts and Minds (1996)" "Brassed Off (1996)" "Saint of Fort Washington, The (1993)"
[10] "Celestial Clockwork (1994)"
$`6`
[1] "Dangerous Beauty (1998)" "Two or Three Things I Know About Her (1966)" "Santa with Muscles (1996)"
[4] "Tough and Deadly (1995)" "Brassed Off (1996)" "Crooklyn (1994)"
[7] "Great Day in Harlem, A (1994)" "Hearts and Minds (1996)" "Saint of Fort Washington, The (1993)"
[10] "Boys, Les (1997)"
$`7`
[1] "Two or Three Things I Know About Her (1966)" "Tough and Deadly (1995)" "Santa with Muscles (1996)"
[4] "Dangerous Beauty (1998)" "Hearts and Minds (1996)" "Great Day in Harlem, A (1994)"
[7] "Boys, Les (1997)" "Brassed Off (1996)" "Margaret's Museum (1995)"
[10] "Crooklyn (1994)"
$`10`
[1] "Dangerous Beauty (1998)" "Great Day in Harlem, A (1994)" "Hearts and Minds (1996)"
[4] "Tough and Deadly (1995)" "Two or Three Things I Know About Her (1966)" "Boys, Les (1997)"
[7] "Santa with Muscles (1996)" "Brassed Off (1996)" "Margaret's Museum (1995)"
[10] "Crooklyn (1994)"
$`11`
[1] "Two or Three Things I Know About Her (1966)" "Hearts and Minds (1996)" "Great Day in Harlem, A (1994)"
[4] "Tough and Deadly (1995)" "Brassed Off (1996)" "Dangerous Beauty (1998)"
[7] "Boys, Les (1997)" "Santa with Muscles (1996)" "Thousand Acres, A (1997)"
[10] "Horse Whisperer, The (1998)"
$`13`
[1] "Santa with Muscles (1996)" "Brassed Off (1996)" "Tough and Deadly (1995)" "Boys, Les (1997)"
[5] "Thousand Acres, A (1997)" "Margaret's Museum (1995)" "Total Eclipse (1995)" "Love! Valour! Compassion! (1997)"
[9] "Withnail and I (1987)" "Prefontaine (1997)"
$`15`
[1] "Two or Three Things I Know About Her (1966)" "Boys, Les (1997)" "Great Day in Harlem, A (1994)"
[4] "Tough and Deadly (1995)" "Dangerous Beauty (1998)" "Saint of Fort Washington, The (1993)"
[7] "Santa with Muscles (1996)" "Hearts and Minds (1996)" "Celestial Clockwork (1994)"
[10] "Whole Wide World, The (1996)"
$`16`
[1] "Great Day in Harlem, A (1994)" "Dangerous Beauty (1998)" "Hearts and Minds (1996)"
[4] "Two or Three Things I Know About Her (1966)" "Boys, Les (1997)" "Santa with Muscles (1996)"
[7] "Tough and Deadly (1995)" "Brassed Off (1996)" "Crooklyn (1994)"
[10] "Thousand Acres, A (1997)"
$`18`
[1] "Great Day in Harlem, A (1994)" "Two or Three Things I Know About Her (1966)" "Dangerous Beauty (1998)"
[4] "Hearts and Minds (1996)" "Santa with Muscles (1996)" "Tough and Deadly (1995)"
[7] "Boys, Les (1997)" "Whole Wide World, The (1996)" "Margaret's Museum (1995)"
[10] "Saint of Fort Washington, The (1993)"
否则,我们不知道您指的是哪个用户的预测功能。
您还可以预测测试数据,如下所示:
> as(predict(recom, test), "list")
推荐阅读
- docker - docker-compose 在 mongoDB 中创建复制
- git - gitmodules 不适用于现有项目
- php - 如何在“where”子句中搜索多个列,有时可能为空,但如果它们不为空,其他列应该可以工作
- android - 执行方法空指针异常中的错误
- python - 用户选择的文件保存位置
- tfs - 如何用图像替换美人鱼图,将它们保持为 markdown 格式以在 TFS/Azure DevOps Server 中提供轻松预览?
- node.js - 使用(NodeJS + Socket.io)创建客户端套接字(Winsock、MQL5、MT5)和服务器端套接字
- react-native-popup-menu - 在 react-native 0.59.3 上安装 react-native-popup-menu 时出错
- mysql - 未导入 pymysql 但出现“pymysql.err.OperationalError: (2003, “Can't connect to MySQL server”
- jquery - 如何在 Nodejs 中使用 curl 和 ajax