Proposal on Finding Possible Menus Using Knowledge Graph Embeddings from Recipe Dataset

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  • 知識グラフ埋め込みを用いた料理レシピデータセットからの潜在的に妥当な献立発見手法の提案

Abstract

<p>This paper proposes a method to find possible menus which do not explicitly exist in the recipe dataset using knowledge graph embedding (KGE). KGE can predict the invisible links in Knowledge Graphs (KGs) by representing each entity and relation as a vector. Using this feature, the proposed method finds invisible menus from the recipe dataset. As it is impossible for a recipe KG to include all possible combinations of recipes that could be regarded as menus, finding possible but invisible menus is necessary for realizing recipe recommender systems. This paper describes how to construct the recipe KG from Cookpad dataset and find potentially possible menus by exploiting TransE. The effectiveness of the proposed method is shown based on the survey-based evaluation.</p>

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