Results 11 to 20 of about 1,825,081 (282)
Utilizing Language Models for Tour Itinerary Recommendation [PDF]
CoRR, 2023 Tour itinerary recommendation involves planning a sequence of relevant Point-of-Interest (POIs), which combines challenges from the fields of both Operations Research (OR) and Recommendation Systems (RS). As an OR problem, there is the need to maximize a certain utility (e.g., popularity of POIs in the tour) while adhering to some constraints (e.g ...
Ngai Lam Ho, Kwan Hui Lim 0001
openaire +3 more sources
A survey on personalized itinerary recommendation: From optimisation to deep learning
Applied Soft Computing Journal, 2023 Sajal Halder +2 more
exaly +3 more sources
Strategic and Crowd-Aware Itinerary Recommendation [PDF]
ECML/PKDD, 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,
Junhua Liu +2 more
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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
doaj +1 more source
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
doaj +1 more source
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 0004, Shouxun Liu
openaire +2 more sources
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
doaj +1 more source
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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A multi‐agent system for itinerary suggestion in smart environments
CAAI Transactions on Intelligence Technology, 2021 Modern smart environments pose several challenges, among which the design of intelligent algorithms aimed to assist the users. When a variety of points of interest are available, for instance, trajectory recommendations are needed to suggest users the ...
Alessandra De Paola +4 more
doaj +1 more source
Discrete Dynamics in Nature and Society, 2021 Smart tourism can provide high-quality and convenient services for different tourists, and tourism itinerary planning system can simplify tourists’ tourism preparation.
Yange Hao, Na Song
doaj +1 more source