An extensible and personalizable multi-modal trip planner

Xudong Liu; Christian Fritz; Matthew Klenk

An extensible and personalizable multi-modal trip planner

Xudong Liu
, Christian Fritz
, Matthew Klenk

School of Computing

Research output: Chapter or Contribution to Book › Conference contribution

Original language	English
Title of host publication	Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
Editors	Roman Bartak, Keith Brawner
Publisher	The AAAI Press
Pages	124-127
Number of pages	4
ISBN (Electronic)	9781577358053
State	Published - 2019
Event	32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019 - Sarasota, United States Duration: May 19 2019 → May 22 2019

Publication series

Name	Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019

Conference

Conference	32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
Country/Territory	United States
City	Sarasota
Period	5/19/19 → 5/22/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

ASJC Scopus Subject Areas

Artificial Intelligence
Software

Cite this

Liu, X., Fritz, C., & Klenk, M. (2019). An extensible and personalizable multi-modal trip planner. In R. Bartak, & K. Brawner (Eds.), Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019 (pp. 124-127). (Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019). The AAAI Press.

An extensible and personalizable multi-modal trip planner. / Liu, Xudong; Fritz, Christian; Klenk, Matthew.
Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019. ed. / Roman Bartak; Keith Brawner. The AAAI Press, 2019. p. 124-127 (Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019).

Research output: Chapter or Contribution to Book › Conference contribution

Liu, X, Fritz, C & Klenk, M 2019, An extensible and personalizable multi-modal trip planner. in R Bartak & K Brawner (eds), Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019. Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019, The AAAI Press, pp. 124-127, 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019, Sarasota, United States, 5/19/19.

Liu X, Fritz C, Klenk M. An extensible and personalizable multi-modal trip planner. In Bartak R, Brawner K, editors, Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019. The AAAI Press. 2019. p. 124-127. (Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019).

Liu, Xudong ; Fritz, Christian ; Klenk, Matthew. / An extensible and personalizable multi-modal trip planner. Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019. editor / Roman Bartak ; Keith Brawner. The AAAI Press, 2019. pp. 124-127 (Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019).

@inproceedings{a4ec22d98b3d48888bec7da357d06922,

title = "An extensible and personalizable multi-modal trip planner",

author = "Xudong Liu and Christian Fritz and Matthew Klenk",

note = "Publisher Copyright: {\textcopyright} 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019 ; Conference date: 19-05-2019 Through 22-05-2019",

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AN - SCOPUS:85102408933

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ER -

An extensible and personalizable multi-modal trip planner

Publication series

Conference

UN SDGs

ASJC Scopus Subject Areas

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