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Shaping the itinerary: Perceived quality of recommendation systems on travel intentions. A case study in Vietnam

Edelweiss Applied Science and Technology
This study aims to explore how recommendation systems (RS) influence the decision-making process of tourists. By examining the quality of RS, their impact on travel intentions, and the mediating role of satisfaction, the study seeks to model the decision-
Nguyen Van Dat, N.V. Tho
semanticscholar   +1 more source

A Genetic Algorithm for Generating Travel Itinerary Recommendation with Restaurant Selection

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018
Experiencing local food while making a trip has a significant impact on the overall tourist experience. No wonder that visiting local restaurants has become an integral part of a tourist itinerary. Nevertheless, manually planning a travel itinerary is a complicated and time-consuming task.
Budhi S. Wibowo, Monica Handayani
openaire   +1 more source

CGSPA: Comprehensive Group Similarity Preference Aggregation Algorithm for Group Itinerary Recommendation System

IEEE Annual Information Technology, Electronics and Mobile Communication Conference, 2019
One of the key factors to group multi-session recommendation system is about aggregating the preference of all users. To address the specific issues, we propose the Comprehensive Group Similarity Preference Aggregation (CGSPA) algorithm for Group ...
Zhitao Dai
exaly   +2 more sources

Two-stage travel itinerary recommendation optimization model considering stochastic traffic time

Expert systems with applications, 2023
Yi Ding   +3 more
semanticscholar   +1 more source

Case-Based Recommendation for Online Judges Using Learning Itineraries

2017
Online judges are online repositories with hundreds or thousands of programming exercises or problems. They are very interesting tools for learning programming concepts, but novice users tend to feel overwhelmed by the large number of problems available.
Antonio A. Sánchez-Ruiz   +3 more
openaire   +1 more source

Tour Itinerary Planner :A Genetic Algorithm and Clustering Approach for Travel plan and Hotel Recommendation

Proceedings of the 2024 6th Asia Conference on Machine Learning and Computing
Tourism is both a vital industry and a popular leisure activity worldwide. One of the primary challenges for tourists is effectively planning and coordinating tour itineraries, which involves numerous considerations such as Points-of-Interest (POIs ...
Siddharth M   +4 more
semanticscholar   +1 more source

Smart Itinerary Recommendation Based on User-Generated GPS Trajectories

2010
Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation for highly efficient and balanced itineraries based on multiple user-generated GPS trajectories.
Hyoseok Yoon   +3 more
openaire   +1 more source

An integrated recommender system for multi-day tourist itinerary

Applied Soft Computing, 2023
Faezeh Ghobadi   +3 more
openaire   +1 more source

A new point-of-interest approach based on multi-itinerary recommendation engine

Expert systems with applications, 2021
J. Sarkar, Abhishek Majumder
semanticscholar   +1 more source

Personalized travel itinerary recommendation enhancing by user interests and point-of-interest characteristics

Information Technology & Tourism
Chia-Wen Chang   +4 more
semanticscholar   +1 more source

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