
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.


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learning-to-index-spatio-textual-data-for-embedding-based-spatial-keyword-queries


Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries


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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。


list-learning-to-index-spatio-textual-data-for-embedding-based-spatial-keyword-queries


LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries
