Recommender systems applied to the tourism industry: a literature review
A Solano-Barliza, I Arregocés-Julio… - Cogent Business & …, 2024 - Taylor & Francis
Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
An efficient approach for improving the predictive accuracy of multi-criteria recommender system
Recommender Systems are useful information filtering tools that have reduced information
overload over the web. Collaborative filtering (CF) is one of the extensively used …
overload over the web. Collaborative filtering (CF) is one of the extensively used …
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Recommendation in settings such as e-recruitment and online dating involves distributing
limited opportunities, which differs from recommending practically unlimited goods such as …
limited opportunities, which differs from recommending practically unlimited goods such as …
Soil classification and crop yield prediction using deep learning
India, known for its agricultural landscape, is a prominent producer of numerous crops
globally. Despite being at the center of the agricultural industry, Indian farmers are often …
globally. Despite being at the center of the agricultural industry, Indian farmers are often …