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Enhancing Itinerary Recommendation with Linked Open Data
2018This paper proposes a recommender system that exploits linked open data (LOD) to perform a social context-aware cross-domain recommendation of personalized itineraries integrated with multimedia and textual content. To this aim, the recommendation engine considers the user profile, the context of use, and the features of the points of interest (POIs ...
Alessandro Fogli +2 more
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Itinerary recommendation based on deep learning
2022Itinerary recommendation is a challenging and complex field due to the lack of adequate information, incomplete knowledge about unfamiliar points of interest (POIs) and the need to account for user preferences. Visiting all attractions in a given locality is typically not possible for a given visitor due to time limitations.
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Semantic approach to travel information search and itinerary recommendation
International Journal of Web Information Systems, 2012PurposeThe growth of online data and services on the Web have have led to the Web become an indispensable tool for the tourist industry. It is not denied that various approaches bring benefits for visitors, in supporting their searching for tourist attractions, such as interesting places for the visit, eating or staying.
Tuan-Dung Cao, Quang-Minh Nguyen
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TravelSense: Personalized Travel Recommendation and Itinerary Planner
Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing TechnologiesN. Naik +5 more
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Proceedings of the 5th Information Interaction in Context Symposium, 2014
Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes being customised to their liking, e.g.
Richard Schaller, David Elsweiler
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Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes being customised to their liking, e.g.
Richard Schaller, David Elsweiler
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Automatic Traveling Itinerary Recommendation using Context Aware Genetic Algorithm
2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)The number of branching roads can make it difficult for users to determine the route to be traveled. In the context of this research, there are more than 50 (fifty) tourist sites own by the city of Semarang.
Adhiyaksa Satria Hutama, Z. Baizal
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Itinerary Recommendation for User Groups in Temporary Social Network
2019Temporary social network has been a increasing popular field in the last few years where people form a temporary social group for a short time period with common interests or purposes in the same area. When a user attends an event or conference in a new city, he/she can join the temporary social networks with his/her social account.
Jing Xia, Yu Li 0015, Yuyu Yin
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Travel Itinerary Generation using AI and Recommendation Systems
2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)The rapid growth of artificial intelligence (AI) in the travel and tourism sector has revolutionized the way how tourists plans their trips. Personalized travel suggestions are provided by AI-powered systems, which streamlines the usually laborious ...
Saransh Aggrawal +3 more
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Pocket Safar: An AI-Driven Smart Travel Recommendation and Dynamic Itinerary Planning System
International Journal for Research in Applied Science and Engineering TechnologyThe rapid growth of digital travel platforms has streamlined booking processes, many existing systems still struggle to deliver deep personalization, effective budget planning, contextual safety support, and meaningful community-based features.
A.R. Prashant
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Proceedings of Applied Data Science & Artificial Intelligence Symposium 2025
Traditional travel planning systems rely on rigid formbased interfaces with predefined dropdown menus, limiting user’s ability to express nuanced preferences.
S. Shouqi +4 more
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Traditional travel planning systems rely on rigid formbased interfaces with predefined dropdown menus, limiting user’s ability to express nuanced preferences.
S. Shouqi +4 more
semanticscholar +1 more source