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A Recommender for Personalized Travel Itineraries
2018Typically, 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
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Personalized Itinerary Recommendation with Queuing Time Awareness
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017Personalized itinerary recommendation is a complex and time-consuming problem, due to the need to recommend popular attractions that are aligned to the interest preferences of a tourist, and to plan these attraction visits as an itinerary that has to be completed within a specific time limit.
Kwan Hui Lim +3 more
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gTour: Multiple itinerary recommendation engine for group of tourists
Expert Systems with Applications, 2022Abstract Tourism is currently extremely significant in the world because it is one of a country’s primary sources of revenue and employment. Tourists experience a number of challenges in selecting suitable trips, consisting of a range of itineraries in relation to their interest preferences and distinct limitations. Tourists may also want to visit in
Joy Lal Sarkar, Abhishek Majumder
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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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Personalized itinerary recommendation with time constraints using GPS datasets
Knowledge and Information Systems, 2018Planning a personalized itinerary for an unfamiliar region requires much effort to design desirable travel plans. With the rapid development of location-based social network (LBSN) services, data mining techniques are utilized to retrieve useful information such as geographical features and social relationships. In this paper, we propose a personalized
Yu-Ling Hsueh, Hong-Min Huang
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Personalized Itinerary Recommendation Based on User-Shared Trails
2014Itinerary is a kind of abstraction of human life. However, with substantial effort involved, it is complicated for someone to plan an itinerary. Therefore, personalized and reasonable itinerary recommendation is nontrivial. With the development of social networks, people have shared their trails like photos, check-ins and text comments on locations ...
Hao Lu, Dong Wang
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Complementing Travel Itinerary Recommendation Using Location-Based Social Networks
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019We proposed in a previous work a recommendation system that, according to the requirements specified by its users, was capable of generating a few travel itineraries of distinct features (e.g. the most appealing itinerary, the shortest itinerary or the itinerary with the highest performance/price ratio) for user selection.
Jing Zhou, Yajie Gu, Weiguo Lin
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MDP-based itinerary recommendation using geo-tagged social media
2018Planning vacations is a complex decision problem. Many variables like the place(s) to visit, how many days to stay, the duration at each location, and the overall travel budget need to be controlled and arranged by the user. Automatically recommending travel itineraries would thus be a remedy to quickly converge to an individual trip that is tailored ...
Gaonkar, Radhika +2 more
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Personalized Itinerary Recommendation via Expectation-Maximization
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022Costas Panagiotakis +3 more
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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, Yuyu Yin
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