TY - JOUR
T1 - A Novel Constraint-Aware Flexible Model with Ant Colony Optimization for Symmetrical Travel Recommendation
AU - Alatiyyah, Mohammed
N1 - Publisher Copyright:
© 2024 by the author.
PY - 2024/6
Y1 - 2024/6
N2 - This paper proposes a flexible travel recommender model (FTRM) that emphasizes the symmetry between user preferences and travel constraints, addressing key challenges in the field such as the integration of diverse constraint types and the customization of travel itineraries. The key contribution of the proposed model lies in its integration with the item constraints data model (ICDM), which effectively manages a plethora of constraint types. Additionally, this study develops a novel algorithm inspired by ant colony optimization (ACO) principles, demonstrating performance metrics that are comparable to state-of-the-art algorithms in this field. A comprehensive set of systematic experimental analyses is conducted, employing various models across diverse situational contexts, with the primary goal of illustrating the capabilities of the proposed symmetrical FTRM using real-world data from the Durham dataset. The obtained results highlight the model’s ability to accommodate diverse constraint types, facilitating the customization of travel itineraries to suit individual user preferences and achieve a balanced and symmetrical travel experience. Specifically, our model outperforms existing models in terms of flexibility and customization, showing significant improvements in user satisfaction and itinerary efficiency.
AB - This paper proposes a flexible travel recommender model (FTRM) that emphasizes the symmetry between user preferences and travel constraints, addressing key challenges in the field such as the integration of diverse constraint types and the customization of travel itineraries. The key contribution of the proposed model lies in its integration with the item constraints data model (ICDM), which effectively manages a plethora of constraint types. Additionally, this study develops a novel algorithm inspired by ant colony optimization (ACO) principles, demonstrating performance metrics that are comparable to state-of-the-art algorithms in this field. A comprehensive set of systematic experimental analyses is conducted, employing various models across diverse situational contexts, with the primary goal of illustrating the capabilities of the proposed symmetrical FTRM using real-world data from the Durham dataset. The obtained results highlight the model’s ability to accommodate diverse constraint types, facilitating the customization of travel itineraries to suit individual user preferences and achieve a balanced and symmetrical travel experience. Specifically, our model outperforms existing models in terms of flexibility and customization, showing significant improvements in user satisfaction and itinerary efficiency.
KW - ant colony optimization (ACO)
KW - flexible travel recommender model (FTRM)
KW - item constraints data model (ICDM)
KW - personalization model
KW - travel recommender system (TRS)
UR - http://www.scopus.com/inward/record.url?scp=85197864184&partnerID=8YFLogxK
U2 - 10.3390/sym16060690
DO - 10.3390/sym16060690
M3 - Article
AN - SCOPUS:85197864184
SN - 2073-8994
VL - 16
JO - Symmetry
JF - Symmetry
IS - 6
M1 - 690
ER -