August 2023
Beginner to intermediate
304 pages
3h 32m
Japanese
Overview
ウェブサイトなどで検索を行う際には、多数のドキュメントから検索結果の候補を見つけ出す「マッチング」、その結果を望ましい順序に並べ替える「ランキング」という2つの操作が行なわれています。本書はこのうち「ランキング」の改善に機械学習のアプローチを導入することによって、検索結果の質を高めるプロセスを解説する書籍です。 第Ⅰ部では、機械学習を用いたランキングモデルの導入だけでなく、従来手法での改善、またモデルそのものの改善や各種のテストなど、機械学習システムを導入、運用するプロジェクトの全体を幅広く紹介します。第Ⅱ部ではサンプルのシステムを実際に動作させて、その挙動を体験するハンズオンを行います。巻末の付録では「ベクトル検索と機械学習」について解説しています。
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