YihongT/ITINERA
[EMNLP 2024 Industry Track & KDD UrbComp 2024 Best Paper Award] ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
This helps urban travelers, tourists, or local explorers create personalized urban travel plans based on their specific interests and preferences. You provide a natural language request, and it generates a customized itinerary of points of interest (POIs) with an optimized walking or driving route. This is ideal for anyone looking to discover cities in a unique, efficient way.
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Use this if you want a highly customized and spatially efficient urban itinerary generated from a natural language description of what you want to do or see.
Not ideal if you prefer pre-packaged tours or don't need a route optimized for efficiency, as this system focuses on personalization and spatial coherence.
Stars
63
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10
Language
Python
License
GPL-3.0
Category
Last pushed
May 22, 2025
Commits (30d)
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