パーソナライズおよび適応型Eコマースレコメンデーションのためのスイッチングベースのディープラーニングフレームワーク
Kapil Saini1, Ajmer Singh2, Manoj Diwakar3,4
1School of Computer Science and Engineering, Geeta University, Panipat, Haryana, 132145, India.
Scientific reports
|February 24, 2026
まとめ
この研究では、多様なユーザープロファイルとクロスドメインレコメンデーションを効果的に処理するための、新しいスイッチングベースのハイブリッドレコメンデーションシステムを紹介します。このシステムは、データのスパース性やリアルタイムの適応性などの課題に対処し、さまざまなユーザーセグメントにわたるレコメンデーションの精度とパフォーマンスを大幅に向上させます。
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