An enhanced genetic algorithm solution for itinerary recommendation considering various constraints [PDF]
PeerJ Computer ScienceThis paper addresses the challenging task of itinerary recommendation for tourists and proposes an approach for suggesting efficient optimal itineraries in Istanbul, based on constraints.
Muhammed Şehab, Metin Turan
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KomoTrip: a multi-day travel itinerary recommendation method based on the discrete komodo mlipir algorithm [PDF]
PeerJ Computer ScienceTechnological developments in recent years led to the emergence of increasingly sophisticated recommender systems to support multi-day travel itineraries that fall under the Tourist Trip Design Problem (TTDP). Various problem analogies are widely used to
Z. K. Abdurahman Baizal +3 more
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Efficient itinerary recommendation via personalized POI selection and pruning [PDF]
Knowledge and Information Systems, 2022 AbstractPersonalized itinerary recommendation has garnered wide research interests for their ubiquitous applications. Recommending personalized itineraries is complex because of the large number of points of interest (POI) to consider in order to construct an itinerary based on visitors’ interest and preference, time budget and uncertain queuing time ...
Sajal Halder +2 more
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Personalized Tour Itinerary Recommendation Algorithm Based on Tourist Comprehensive Satisfaction
Applied Sciences (Switzerland)Personalized travel itinerary recommendation algorithms are the focus of research in smart tourism and tourism GIS. Aiming to address issues present in travel itinerary recommendations for the increasingly popular “self-drive tour” mode, this study ...
Dingming Liu +2 more
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Including the Temporal Dimension in the Generation of Personalized Itinerary Recommendations
IEEE AccessTourists spend a lot of effort in planning itineraries when organizing a trip. This is a complex activity that involves selecting the places to visit and dealing with a number of temporal issues to generate a schedule for the visit.
Federica Cena +3 more
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Journal of King Saud University - Computer and Information SciencesPersonalized travel itinerary recommendation aims to suggest ordered sequences of points of interest (POIs) that align with user preferences while respecting temporal and spatial constraints.
Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu
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Spatio-Temporal Graph Spectral Network for Personalized Itinerary Recommendation
IEEE AccessThe goal of personalized itinerary recommendation is to generate travel routes that closely match each user’s unique preferences and spatiotemporal constraints.
Teng Wang, Rui Cheng, Yiheng Wang
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A Genetic Algorithm for Travel Itinerary Recommendation with Mandatory Points-of-Interest
IFIP Advances in Information and Communication Technology, 2020 Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, people would visit the POIs that are popular or special in a city and also have desired starting POIs (e.g., POIs that are close to their hotels) and destination POIs (e.g., POIs that are near train stations or airports).
Phatpicha Yochum +2 more
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A framework for recommending tourist attractions using deep learning and association rule mining-based methods [PDF]
ITM Web of Conferences, 2022 . Many of tourism recommendation researches are based on the user rating and review data on the tourism platforms, and these approaches might be only suitable for a discrete recommendation for the tourist attractions. It is because each rating and review
Jeong Hanjo
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Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation
ACM Transactions on Recommender SystemsItinerary recommendation involves suggesting a sequence of Points of Interests (POIs) that users obtain maximum satisfaction under a time budget. Existing models have three challenges. First, they model user interest as non-time dependent, which cannot capture user interest appropriately because user interest can be contextual on time, e.g.
Sajal Halder +2 more
exaly +2 more sources