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Modeling Sustainable City Trips: Integrating CO2 Emissions, Popularity, and Seasonality into Tourism Recommender Systems
Our paper introduces a novel approach for assigning a sustainability indicator (SF index) for city trips accessible from the users' starting point, integrating Co2e analysis, destination popularity, and seasonal demand.
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
This position paper summarizes our published review on individual and multistakeholder fairness in Tourism Recommender Systems (TRS).
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval
Online platforms like Google and Yelp allow location-based search in the form of nearby feature to query for hotels or restaurants in the vicinity.
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