Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/121170
DC Field | Value | Language |
---|---|---|
dc.contributor | 資科系 | |
dc.creator | 蔡銘峰 | zh_TW |
dc.creator | Tsai, Ming-Feng | en_US |
dc.creator | Chao, Chih-Yu;Chu, Yi-Fan;Ho, Yi;Wang, Chuan-Ju;Tsai, Ming-Feng | zh_TW |
dc.date | 2016-09 | |
dc.date.accessioned | 2018-11-30T07:31:47Z | - |
dc.date.available | 2018-11-30T07:31:47Z | - |
dc.date.issued | 2018-11-30T07:31:47Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/121170 | - |
dc.description.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/. | en_US |
dc.format.extent | 268407 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Poster Proceedings of ACM RecSys 2016, ACM | |
dc.subject | dish discovery; word embeddings; dish-word extraction | en_US |
dc.title | Dish Discovery via Word Embeddings on Restaurant Reviews | en_US |
dc.type | conference | |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | conference | - |
Appears in Collections: | 會議論文 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
paper-18.pdf | 262.12 kB | Adobe PDF2 | View/Open |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.