Results 231 to 240 of about 1,825,081 (282)
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Attentive multi-task learning for group itinerary recommendation
Knowledge and Information Systems, 2021Tourism is one of the largest service industries and a popular leisure activity participated by people with friends or family. A significant problem faced by the tourists is how to plan sequences of points of interest (POIs) that maintain a balance between the group preferences and the given temporal and spatial constraints.
Jie Cao, Huanhuan Chen, Weichao Liang
exaly +3 more sources
Exploiting semantics for context-aware itinerary recommendation
Personal and Ubiquitous Computing, 2019 Itinerary planning is a challenging task for users wishing to enjoy points of interest (POIs) in line with their preferences, the current context of use, and travel constraints. This article describes an approach to exploit linked open data (LOD) to perform a context-aware recommendation of personalized itineraries with related multimedia content.
Giuseppe Sansonetti
exaly +3 more sources
Personalized itinerary recommendation: Deep and collaborative learning with textual information
Expert Systems With Applications, 2020Abstract Personalized itinerary recommendation is a complicated and challenging task, which aims to construct and recommend a visit sequence consists of multiple Points of Interest (POIs) with the constraints that maximizing user satisfaction while adhering time budget. User interests, therefore, becomes the most crucial element in the recommendation
Lu Zhang, Zhiang Wu, Jie Cao
exaly +3 more sources
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
exaly +3 more sources
Personalized Itinerary Recommendation via Expectation-Maximization
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022The personalized itinerary recommendation problem in selecting a subset of locations to visit from among a larger set while maximizing the benefit for the tourist.
Costas Panagiotakis +2 more
exaly +3 more sources
Self-supervised contrastive learning for itinerary recommendation
Expert Systems With ApplicationsGuixiang Zhu
exaly +3 more sources
Evaluating an Itinerary Recommendation Algorithm for Runners
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 2021Recommender systems for runners primarily rely on existing running traces in an area. In the absence of running traces, recommending running routes is challenging. This paper describes our approach to generating and proposing ”pleasant” running tours that consider the runner’s standard preferences and their distance and elevation constraints.
Shreepriya Shreepriya +3 more
openaire +2 more sources
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
openaire +2 more sources
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing, 2011Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be eased if the resident of the area offers to help. In this paper, we propose a social itinerary recommendation by learning from multiple user-generated digital trails, such as GPS trajectories of residents and travel experts.
Hyoseok Yoon, Xing Xie, Woontack Woo
exaly +3 more sources
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 0001 +3 more
openaire +2 more sources