313 citations · 750 across the 46 of their papers we have counts for
5 papers · 1 filter
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema +2
In order to improve the accuracy of recommendations, many recommender systems nowadays use side information beyond the user rating matrix, such as item content. These systems build…
Assessing the Impact of a User-Item Collaborative Attack on Class of Users
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Collaborative Filtering (CF) models lie at the core of most recommendation systems due to their state-of-the-art accuracy. They are commonly adopted in e-commerce and online servic…
Towards Effective Device-Aware Federated Learning
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +1
With the wealth of information produced by social networks, smartphones, medical or financial applications, speculations have been raised about the sensitivity of such data in term…
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…
Session-Based Hotel Recommendations: Challenges and Future Directions
Jens Adamczak, Gerard-Paul Leyson, Peter Knees +5
In the year 2019, the Recommender Systems Challenge deals with a real-world task from the area of e-tourism for the first time, namely the recommendation of hotels in booking sessi…