TY - GEN
T1 - Personalized one-day travel with multi-nearby-landmark recommendation
AU - Bao, Siya
AU - Yanagisawa, Masao
AU - Togawa, Nozomu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/14
Y1 - 2017/12/14
N2 - Travel route recommendation can strongly influence users' satisfaction and the success of touristic businesses. This paper proposes a personalized travel recommendation algorithm with time planning. We use landmark categorization and region clustering to obtain effective elements. Then we build a travel map to generate all possible travel routes. Our proposed algorithm has higher precision in landmark recommendation and time planning than thoes in previous algorithms.
AB - Travel route recommendation can strongly influence users' satisfaction and the success of touristic businesses. This paper proposes a personalized travel recommendation algorithm with time planning. We use landmark categorization and region clustering to obtain effective elements. Then we build a travel map to generate all possible travel routes. Our proposed algorithm has higher precision in landmark recommendation and time planning than thoes in previous algorithms.
KW - landmark
KW - time planning
KW - travel route recommendation
KW - user preference
UR - http://www.scopus.com/inward/record.url?scp=85044002563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044002563&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Berlin.2017.8210637
DO - 10.1109/ICCE-Berlin.2017.8210637
M3 - Conference contribution
AN - SCOPUS:85044002563
T3 - IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
SP - 239
EP - 242
BT - 2017 IEEE 7th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
PB - IEEE Computer Society
T2 - 7th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2017
Y2 - 3 September 2017 through 6 September 2017
ER -