| dc.contributor | 資科系 | |
| dc.creator (作者) | 蔡銘峰 | zh_TW |
| dc.creator (作者) | Tsai, Ming-Feng | en_US |
| dc.creator (作者) | Chao, Chih-Yu;Chu, Yi-Fan;Ho, Yi;Wang, Chuan-Ju;Tsai, Ming-Feng | zh_TW |
| dc.date (日期) | 2016-09 | |
| dc.date.accessioned | 30-Nov-2018 15:31:47 (UTC+8) | - |
| dc.date.available | 30-Nov-2018 15:31:47 (UTC+8) | - |
| dc.date.issued (上傳時間) | 30-Nov-2018 15:31:47 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/121170 | - |
| dc.description.abstract (摘要) | 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/. | en_US |
| dc.format.extent | 268407 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Poster Proceedings of ACM RecSys 2016, ACM | |
| dc.subject (關鍵詞) | dish discovery; word embeddings; dish-word extraction | en_US |
| dc.title (題名) | Dish Discovery via Word Embeddings on Restaurant Reviews | en_US |
| dc.type (資料類型) | conference | |
