Fab: content-based, collaborative recommendation
Communications of the ACM
The Benefit of Using Tag-Based Profiles
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Ontological recommendation multi-agent for Tainan City travel
Expert Systems with Applications: An International Journal
Equip tourists with knowledge mined from travelogues
Proceedings of the 19th international conference on World wide web
Smart itinerary recommendation based on user-generated GPS trajectories
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Summarizing tourist destinations by mining user-generated travelogues and photos
Computer Vision and Image Understanding
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Customized tour recommendations in urban areas
Proceedings of the 7th ACM international conference on Web search and data mining
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In this paper we suggest a design for a system, TripTip, the aim of which is to help negotiate their way through the immense amount of information that is often available by recommending a set of choices. TripTip recommends to the users the next place, which they would most likely want to visit given their preference in previous choices. To generate this information, tags that are attached on a given place by users give the characteristics of a place and the reasons for visiting the place.