Travel Destination Recommendation Systems: Behavioural Foundations and Applications (Cabi Publishing)
It takes variety to make a world: diversification in recommender systems
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Persuasive Recommender Systems: Conceptual Background and Implications
Persuasive Recommender Systems: Conceptual Background and Implications
Hi-index | 0.00 |
Personal transportation greatly contributes to environmental pollution from CO2 emissions and persuasive technologies could assist travellers in reducing their ecological impact. In this work we focus on the design of persuasive travel recommenders in order to support travellers, who have a pre-existing interest in taking action to lessen their impact on the environment, adopt green transportation habits. Our approach examines recommender systems under a choice architecture framework and aims at providing urban travellers with a personalized travel recommender that helps them plan routes while considering the environmentally friendliest travel modes.