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arXiv · 1912.05171

Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes

Masaki Oguni·Yohei Seki·Yu Hirate
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Abstract

In user-generated recipe websites, users post their-original recipes. Some recipes, however, are very similar in major components such as the cooking instructions to other recipes. We refer to such recipes as "near-duplicate recipes". In this study, we propose a method that extends the "Word Mover's Distance", which calculates distances between texts based on word embedding, to character 3-gram embedding. Using a corpus of over 1.21 million recipes, we learned the word embedding and the character 3-gram embedding by using a Skip-Gram model with negative sampling and fastText to extract candidate pairs of near-duplicate recipes. We then annotated these candidates and evaluated the proposed method against a comparison method. Our results demonstrated that near-duplicate recipes that were not detected by the comparison method were successfully detected by the proposed method.

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Masaki Oguni, Yohei Seki, Yu Hirate. 2019-12-11. Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes. https://arxiv.org/abs/1912.05171

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