212 citations · 378 across the 7 of their papers we have counts for
7 papers
Fairness in Recommender Systems: Research Landscape and Future Directions
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin +2
Recommender systems can strongly influence which information we see online, e.g., on social media, and thus impact our beliefs, decisions, and actions. At the same time, these syst…
A Review of Modern Fashion Recommender Systems
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa +4
The textile and apparel industries have grown tremendously over the last few years. Customers no longer have to visit many stores, stand in long queues, or try on garments in dress…
Reenvisioning Collaborative Filtering vs Matrix Factorization
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia +1
Collaborative filtering models based on matrix factorization and learned similarities using Artificial Neural Networks (ANNs) have gained significant attention in recent years. Thi…
Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective
Pablo Sánchez, Alejandro Bellogín
Point-of-Interest recommendation is an increasing research and developing area within the widely adopted technologies known as Recommender Systems. Among them, those that exploit i…
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo +2
Recommender systems (RSs) have attained exceptional performance in learning users' preferences and helping them in finding the most suitable products. Recent advances in adversaria…
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani +2
Fairness in recommender systems has been considered with respect to sensitive attributes of users (e.g., gender, race) or items (e.g., revenue in a multistakeholder setting). Regar…
A novel approach for venue recommendation using cross-domain techniques
Pablo Sánchez, Alejandro Bellogín
Finding the next venue to be visited by a user in a specific city is an interesting, but challenging, problem. Different techniques have been proposed, combining collaborative, con…