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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/121170
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/121170

    Title: Dish Discovery via Word Embeddings on Restaurant Reviews
    Authors: 蔡銘峰
    Tsai, Ming-Feng
    Chao, Chih-Yu;Chu, Yi-Fan;Ho, Yi;Wang, Chuan-Ju;Tsai, Ming-Feng
    Contributors: 資科系
    Keywords: dish discovery;word embeddings;dish-word extraction
    Date: 2016-09
    Issue Date: 2018-11-30 15:31:47 (UTC+8)
    Abstract: This paper proposes a novel framework for automatic dish discovery via word embeddings on restaurant reviews. We collect a dataset of user reviews from Yelp and parse the reviews to extract dish words. Then, we utilize the processed reviews as training texts to learn the embedding vectors of words via the skip-gram model. In the paper, a nearestneighbor like score function is proposed to rank the dishes based on their learned representations. We brief some analyses on the preliminary experiments and present a web-based visualization at http://clip.csie.org/yelp/.
    Relation: Poster Proceedings of ACM RecSys 2016, ACM
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

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