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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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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 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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Strategic and Crowd-Aware Itinerary Recommendation [PDF]
, 2021 There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time and crowd levels for multiple users. This difficulty is further complicated by the large amount of parameters involved, i.e., attraction popularity, queuing time, walking time,
Liu, Junhua +2 more
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An Improved Recommender for Travel Itineraries [PDF]
EasyChair Preprints, 2018 Given the vast amount of information, including the numerous points-of-interest (POIs) and the various hotels, available on travel websites such as tripadvisor or booking, a recommender system would help users, who are planning their next trip, filter out unnecessary information based on their requirements.
Yajie Gu, Jing Zhou, Shouxun Liu
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Discrete Dynamics in Nature and Society, 2021 The key technology of online travel recommendation system has been widely concerned by many Internet experts. This paper studies and designs a scenario aware service model in online travel planning system and proposes an online travel planning ...
Yange Hao, Na Song
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An Adaptive Genetic Algorithm for Personalized Itinerary Planning
IEEE Access, 2020 Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs) in ...
Phatpicha Yochum +3 more
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DeepAltTrip: Top-K Alternative Itineraries for Trip Recommendation
IEEE Transactions on Knowledge and Data Engineering, 2023 Trip itinerary recommendation finds an ordered sequence of Points-of-Interest (POIs) from a large number of candidate POIs in a city. In this paper, we propose a deep learning-based framework, called DeepAltTrip, that learns to recommend top-k alternative itineraries for given source and destination POIs. These alternative itineraries would be not only
Syed Md. Mukit Rashid +2 more
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Information, 2022 Big Data is changing how organizations conduct operations. Data are assembled from multiple points of view through online quests, investigation of purchaser purchasing conduct, and then some, and industries utilize it to improve their net revenue and ...
Manash Sarkar +3 more
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