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A Knowledge Graph for Travel Mode Recommendation and Critiquing

Authors:
Bill Karakostas
Dimitris Kardaras

Keywords: travel recommender system, graph database, multi mode travel, intelligent route planner, intelligent critiquing

Abstract:
The paper presents a knowledge based system for travel mode recommendation and critiquing. The system recommends the best travel mode for travelling between locations, based on user recommendations. The system’s knowledge is stored in a graph database where the nodes represent locations and the edges the travel modes available for travelling between locations. Weights attached to each edge represent the degree of popularity of different modes for travelling on that route. The system is capable of recommending itineraries containing the highest recommended travel modes. The system also can critique a user proposed itinerary based on the travel modes it contains. We have evaluated the approach comparing system generated recommendations with user recommendations in online travel forums.

Pages: 78 to 83

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-558-6

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017