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09/11/2023
Formalizing Multimedia Recommendation through Multimodal Deep Learning
Recommender systems (RSs) offer personalized navigation experiences on o...
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08/24/2023
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis
Multimodal-aware recommender systems (MRSs) exploit multimodal content (...
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08/21/2023
A Topology-aware Analysis of Graph Collaborative Filtering
The successful integration of graph neural networks into recommender sys...
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08/01/2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
The success of graph neural network-based models (GNNs) has significantl...
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06/29/2023
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
In multimodal-aware recommendation, the extraction of meaningful multimo...
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04/14/2023
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments
EvalRS aims to bring together practitioners from industry and academia t...
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03/02/2022
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
Research on recommender systems algorithms, like other areas of applied ...
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11/10/2021
Conversational Recommendation: Theoretical Model and Complexity Analysis
Recommender systems are software applications that help users find items...
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09/02/2021
Adherence and Constancy in LIME-RS Explanations for Recommendation
Explainable Recommendation has attracted a lot of attention due to a ren...
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07/28/2021
Reenvisioning Collaborative Filtering vs Matrix Factorization
Collaborative filtering models based on matrix factorization and learned...
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03/03/2021
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recommender Systems have shown to be an effective way to alleviate the o...
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09/05/2019
