我正在尝试添加建议到我们的电子商务网站使用Mahout。我决定使用基于项目的推荐,我有大约60K个产品,200K个用户和4M个用户-产品偏好。我正在寻找一种通过离线计算项目相似度来提供推荐的方法,这样recommender.recommend()方法将在100毫秒内提供结果。
DataModel dataModel = new FileDataModel("/FilePath");
_itemSimilarity = new TanimotoCoefficientSimilarity(dataModel);
_recommender = new CachingRecommend
有没有离线安装HEX的变通方法? D:\Paperless\PeopleCost\server>mix local.hex --force
** (Mix) httpc request failed with: {:failed_connect, [{:to_address, {'repo.hex.pm', 443}}, {:inet, [:inet], :etimedout}]}
Could not install Hex because Mix could not download metadata at https://repo.hex.pm/installs/
在这里,我被我的drop点的问题困扰着。
Here is the scenario:
-> we are using JAVA POST api for inserting values in sage database(Using flowgear sage evolution node).
-> when we are online, and the workflow is called from api then everything works fine.
-> But when i am offline or out of internet(my workflow
我的应用程序有一个在线/离线状态按钮。单击此按钮后,将在设置状态时一起提交设置离线/在线的原因。此状态需要像跟踪历史一样进行跟踪。
示例:
Event 1: Region A goes offline due to power outage at 12 am. Set offline by operator.
Event 2: Region A goes online because power is restored at 12:15 am. Set online by technician.
Total offline time: 15 minutes
在糟糕的一天,每个区域每天可能有