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Personalized Itinerary Planning with LLM-Guided Interaction
Recent Advances in Computer Science and CommunicationsIntroduction: Personalized itinerary planning requires systems capable of interpreting diverse user preferences while minimizing cognitive effort. Traditional tools often rely on rigid form-based inputs or unstructured conversational agents, which limit usability.
Mohamed Badouch, Mehdi Boutaounte
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Optimal itinerary planning for mobile agents-based management
GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005Proposed management architectures, incorporating mobile agent (MA) technology, fail to address scalability problems, when monitoring tasks employing multi-hop agents are considered. This is because they lack mechanisms, which can guarantee that the agents itinerary is optimised so as to minimise migration traffic and round-trip latency.
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A hybrid approach to plan itinerary for tourists
2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016With the rapid development of information, communication and transportation systems, the number of tourists is increasing all over the world. Most of the tourists are facing problems when they visit unfamiliar places. That's why it is often difficult for an individual tourist to make an optimal sightseeing itinerary plan during a tight schedule.
Md. Abdul Awal +3 more
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Exploring Automated Systems for Planning Travel Itineraries
This paper presents a comparative survey of au- tomated travel itinerary planning systems, focusing on systems that use artificial intelligence and machine learning to personalizetravel experiences. By examining three recent papers, we identifycore features, strengths, and limitations across various trip planning technologies, including traditional ...Abhiram H R +4 more
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Multi-Agent Itinerary Planning for Wireless Sensor Networks
2009Agent-based data collection and aggregation have been proved to be efficient in wireless sensor networks (WSNs). While most of existing work focus on designing various single agent based itinerary planning (SIP) algorithms by considering energy-efficiency and/or aggregation efficiency, this paper identifies the drawbacks of this approach in large scale
Min Chen +3 more
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Travel planning problem considering site selection and itinerary making
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018Tourism development has become indispensable activity for people's daily life, especially self-driving travel. We study destination choice and itinerary problem for self-driving travel planning. A fuzzy analytic hierarchy process (FAHP) is utilized to solve the destination choice problem.
Du Jiaoman, Li Lei, Li Xiang
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Green fleet management architecture: Application to economic itinerary planning
2012 IEEE Globecom Workshops, 2012Over the last decade, great efforts are invested in reducing emissions of greenhouse gases at a world scale. We should therefore elaborate new global solutions to this type of pollution, in which fleets of vehicles are heavily contributing. In this paper, we propose a novel green architecture for global fleet management that considers the most ...
Remy, Guillaume +5 more
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Robust passenger itinerary planning using transit AVL data
Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems, 2003Automatic vehicle location (AVL) data can be used for a variety of operational and planning purposes at a transit agency. One possible application is for passenger itinerary planning, where the passenger seeks to go from an origin to a destination in some "optimal" way.
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Designing a life experience: itinerary planning and organization.
2010AbstractThe ability to construct a life experience in the way that tour operators (or travel agents and tour guides) are required to do is a skill that is extremely useful for many actors in the tourism industry, particularly in the food and wine sector. In this chapter, suggestions are presented for planning the package travel, preparing and designing
E. Croce, G. Perri
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Optimal itinerary planning for mobile multiple agents in WSN
2012Les agents multi mobiles basés sur la collecte et l'agrégation de données ont prouvé leur efficacité dans les réseaux de capteurs sans fil (WSN). Cependant, la manière dont ces agents sont déployés doit être intelligemment planifiée et adaptée aux caractéristiques des réseaux de capteurs sans fil.
Mostefa, Mohammed Feham
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