April 2014
Intermediate to advanced
236 pages
4h 26m
Japanese
Content preview from アジャイルデータサイエンス ―スケーラブルに構築するビッグデータアプリケーション
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163
163
8.2 パーソナライズ
これが意味するのは、
russel.jurney@gmail.com
から
****@gmail.com
にメール
を送信した場合、
0.25
通の返信が期待できるということです。別の言い方をすれば、
確率
25%
で返信があるということです。
最後に、このデータを
MongoDB
に展開し、保存されていることを確認します。
store reply_ratios into 'mongodb://localhost/agile_data.reply_ratios'
using MongoStorage();
> db.reply_ratios.findOne({"from": "russell.jurney@gmail.com", "to":
"kate.jurney@gmail.com"})
{
"_id" : ObjectId("5010f7df0364e16aa73da639"),
"from" : "russell.jurney@gmail.com",
"to" : "kate.jurney@gmail.com",
"ratio" : 0.1318681389093399
}
さあ、この機能をメールアドレスのページに追加しましょう。
8.2
ーライズ
ここまでは、アプリケーションのユーザーについては、まったく前提を置いていま
せんでした。ここからは、そうはいきません。このセクションでは、ユーザーが筆
者自身、すなわち
russell.jurney@gmail.com
であると仮定します。実際には ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.