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A Real-time Post-processing System for Itinerary Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Post-processing is crucial to modern recommendation systems to achieve various purposes, e.g., improving diversity, and giving reasonable itineraries which consist of combinations of items, but is merely studied in the literature.
Linge Jiang   +6 more
openaire   +2 more sources

MULTITOUR: A multiple itinerary tourists recommendation engine

Electronic Commerce Research and Applications, 2020
Abstract The importance of tourism in today’s world is immense as it is a big source of revenue and employment generation for a country. Tourists face a variety of challenges during planning of their itinerary as well as in the selection of appropriate tour packages which consist of multiple itineraries in terms of their interests and different ...
Joy Lal Sarkar   +3 more
openaire   +1 more source

Personalized Group Itinerary Recommendation using a Knowledge-based Evolutionary Approach

GECCO Companion, 2023
The problem of recommending a group itinerary is considered to be NP-hard and can be defined as an optimization problem. The goal is to recommend the best series of points of interest (POIs) to a group of people who are visiting a destination based on ...
Farzaneh Jouyandeh, Pooya Moradian Zadeh
semanticscholar   +1 more source

Travel recommendation and itinerary planning

AIP Conference Proceedings
Minal Barhate   +6 more
openaire   +2 more sources

Optimal Tourism Itinerary Recommendation Using Cuckoo Search Algorithm (Case Study: Yogyakarta Region)

2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), 2023
Tourism contributes significantly to a country’s economic growth. Yogyakarta is a famous region in Indonesia that offers a variety of tourist destinations.
Ahmad Nur Rizal, Z. Baizal
semanticscholar   +1 more source

Onto- It:Ontological Architecture for Adapted Itinerary Recommendation, Application to Tunis

2023 IEEE Afro-Mediterranean Conference on Artificial Intelligence (AMCAI), 2023
Onto-IT is an itinerary recommendation system which relies on ontologies for transportation knowledge representation. The aim of our proposal is to assist users finding the most suitable itinerary based on their preferences and to help them navigate a ...
Ghada Besbes
exaly   +2 more sources

A Recommender for Personalized Travel Itineraries

2018
Typically, people would visit travel websites such as tripadvisor.com, mafengwo.cn, or ctrip.com when planning for their next trip. The lowest airfare, the best hotels, and great attractions can be found on these websites based on requirements provided by users. Millions of traveler reviews, photos, and maps, are also available.
Yajie Gu   +4 more
openaire   +1 more source

Narrative-Driven Itinerary Recommendation: LLM Integration for Immersive Urban Walking

ACM Conference on Recommender Systems
Sedentary behavior, dubbed the disease of the 21st century, is a ubiquitous force driving chronic illness. Yet, traditional itinerary and Point-of-Interest (POI) Recommender Systems (RSs) lack engaging elements that motivate routine urban walking.
Fabio Ferrero
semanticscholar   +1 more source

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