The author proposes LIST, a novel technique that learns to index spatio-textual data for embedding-based spatial keyword queries, addressing issues of traditional models and deep learning methods. LIST outperforms existing methods in effectiveness and efficiency.
LISTは、埋め込みベースの空間キーワードクエリに対応するためにスペーシャルテキストデータをインデックス化する方法を学ぶ。