講演抄録/キーワード |
講演名 |
2018-06-14 14:30
Study on Travel Planning Method through Must-visiting Planning by Using Bidirectional LSTM ○ZihJia Liou(NCTU)・Masato Nomiyama・Toshiki Takeuchi・Tomohiro Tanikawa・Takuji Narumi・Michitaka Hirose(UTokyo) MVE2018-4 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
During travel planning, some travelers would first select the places which are famous or they are interested in, and then collect information for more travel spots to fill in the idle time. This scenario is must-visiting planning. However, the process is time-consuming and the sequence of the spots would affect travel experience. To support travelers in exploring spots efficiently without ruining the travel experience, we combine deep learning model - bidirectional LSTM and the concept of experience flow to provide candidates as interpolated spot to add between must-visiting spots. With this method, the travel plan can be enriched and experience can be enhanced. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Travel planning / Must-visiting planning / Bidirectional LSTM / Travel experience / / / / |
文献情報 |
信学技報, vol. 118, no. 95, MVE2018-4, pp. 47-52, 2018年6月. |
資料番号 |
MVE2018-4 |
発行日 |
2018-06-07 (MVE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MVE2018-4 |