gorse试用

注：本试用是在win10下安装试用

一、导入items成功：

gorse import-items C:\Users\zhouxiujue/.gorse/gorse.db D:\golang\dataset\ml-100k\u.item

2020/04/09 11:45:04 database status: 0 feedback, 0 items
2020/04/09 11:45:04 import items from D:\golang\dataset\ml-100k\u.item
2020/04/09 11:45:04 database status: 0 feedback, 1682 items
2020/04/09 11:45:04 items are imported successfully! (31.2878ms)

二、导入feedback不成功：

gorse import-feedback C:\Users\zhouxiujue\.gorse\gorse.db C:\Users\zhouxiujue\.gorse\dataset\ml-100k\u.data --sep $'\t'

2020/04/09 13:55:37 database status: 0 feedback, 1682 items
2020/04/09 13:55:37 import feedback from C:\Users\zhouxiujue\.gorse\dataset\ml-100k\u.data
2020/04/09 13:55:37 database status: 0 feedback, 1682 items
2020/04/09 13:55:37 feedback are imported successfully! (22.1404ms) 

 后从别的文章中得到启发，不能用单引号，改为双引号：

gorse import-feedback C:\Users\zhouxiujue\.gorse\gorse.db C:\Users\zhouxiujue\.gorse\dataset\ml-100k\u.data --sep $"\t"

仍然不成功，推测问题出在分隔符的转义符的写法不准确，把分隔符改为逗号就可以了。

Tab键用 --sep $"\t" 在windows的dos下可能不准确。如果有人知道麻烦留言！！谢谢！

三、调接口导入：

curl -X PUT -H 'Content-Type: application/json' 127.0.0.1:8080/items -d '[{"ItemId":"2048","Timestamp":"2010-1-1"},{"ItemId":"2049","Timestamp":"2011-1-1"},{"ItemId":"2050","Timestamp":"2012-1-1"}]'

不成功！，原因还是单引号。

改为双引号： 

curl -X PUT -H "Content-Type: application/json" 127.0.0.1:8080/feedback -d "[{\"UserId\":\"2048\",\"ItemId\":\"1000\",\"Rating\":3},{\"UserId\":\"2049\",\"ItemId\":\"1000\",\"Rating\":3}]"

导入成功：

{
 "ItemsBefore": 1682,
 "ItemsAfter": 1683,
 "UsersBefore": 1,
 "UsersAfter": 2,
 "FeedbackBefore": 0,
 "FeedbackAfter": 2
} 

四、启动gorse的server，配置文件在example中有一份现成的可以用

gorse serve -c D:\dev\gopath\src\github.com\zhenghaoz\gorse\example\file_config\config.toml

注意，你需要先导入feedback和items才能启动服务。

在IE中访问：

http://127.0.0.1:8080/recommends/13?number=10

有返回：

[
 {
  "ItemId": "988",
  "Popularity": 86,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 1
 },
 {
  "ItemId": "259",
  "Popularity": 162,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.9783490222851946
 },
 {
  "ItemId": "245",
  "Popularity": 240,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.8745238818109914
 },
 {
  "ItemId": "304",
  "Popularity": 149,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.8301400379197285
 },
 {
  "ItemId": "325",
  "Popularity": 128,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.8140271102494833
 },
 {
  "ItemId": "496",
  "Popularity": 231,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.8074109883626155
 },
 {
  "ItemId": "257",
  "Popularity": 303,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.7536048916776367
 },
 {
  "ItemId": "266",
  "Popularity": 35,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.7516811220131554
 },
 {
  "ItemId": "134",
  "Popularity": 198,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.7496362849649536
 },
 {
  "ItemId": "948",
  "Popularity": 48,
  "Timestamp": "0001-01-01T00:00:00Z",
  "Score": 0.6596478258360672
 }
]