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Claudio Pomo
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 49
Top Topics
Qualitative Analysis
Matrix Factorization
Latent Factors
Recommender Systems
Top Venues
CoRR
RecSys
IIR
KaRS/ComplexRec@RecSys
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Publications
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Daniele Malitesta
,
Emanuele Rossi
,
Claudio Pomo
,
Fragkiskos D. Malliaros
,
Tommaso Di Noia
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach.
CoRR
(2024)
Vito Bellini
,
Eugenio Di Sciascio
,
Francesco Maria Donini
,
Claudio Pomo
,
Azzurra Ragone
,
Angelo Schiavone
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.
J. Intell. Inf. Syst.
62 (3) (2024)
Matteo Attimonelli
,
Danilo Danese
,
Daniele Malitesta
,
Claudio Pomo
,
Giuseppe Gassi
,
Tommaso Di Noia
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation.
WWW (Companion Volume)
(2024)
Matteo Attimonelli
,
Danilo Danese
,
Daniele Malitesta
,
Claudio Pomo
,
Giuseppe Gassi
,
Tommaso Di Noia
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation.
CoRR
(2024)
Daniele Malitesta
,
Claudio Pomo
,
Vito Walter Anelli
,
Alberto Carlo Maria Mancino
,
Eugenio Di Sciascio
,
Tommaso Di Noia
A Topology-aware Analysis of Graph Collaborative Filtering.
CoRR
(2023)
Federico Bianchi
,
Patrick John Chia
,
Jacopo Tagliabue
,
Ciro Greco
,
Gabriel de Souza P. Moreira
,
Davide Eynard
,
Fahd Husain
,
Claudio Pomo
EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments.
KDD
(2023)
Daniele Malitesta
,
Giandomenico Cornacchia
,
Claudio Pomo
,
Tommaso Di Noia
On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis.
MMIR@MM
(2023)
Daniele Malitesta
,
Giuseppe Gassi
,
Claudio Pomo
,
Tommaso Di Noia
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation.
CoRR
(2023)
Vito Walter Anelli
,
Yashar Deldjoo
,
Tommaso Di Noia
,
Daniele Malitesta
,
Vincenzo Paparella
,
Claudio Pomo
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.
ECIR (1)
(2023)
Daniele Malitesta
,
Giandomenico Cornacchia
,
Claudio Pomo
,
Tommaso Di Noia
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.
EvalRS@KDD
(2023)
Simona Colucci
,
Tommaso Di Noia
,
Francesco M. Donini
,
Claudio Pomo
,
Eugenio Di Sciascio
Irrelevant Explanations: a Logical Formalization and a Case Study.
XAI.it@AI*IA
(2023)
Federico Bianchi
,
Patrick John Chia
,
Ciro Greco
,
Claudio Pomo
,
Gabriel de Souza P. Moreira
,
Davide Eynard
,
Fahd Husain
,
Jacopo Tagliabue
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments.
CoRR
(2023)
Daniele Malitesta
,
Giuseppe Gassi
,
Claudio Pomo
,
Tommaso Di Noia
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation.
ACM Multimedia
(2023)
Vincenzo Paparella
,
Alberto Carlo Maria Mancino
,
Antonio Ferrara
,
Claudio Pomo
,
Vito Walter Anelli
,
Tommaso Di Noia
Knowledge Graph Datasets for Recommendation.
KaRS@RecSys
(2023)
Daniele Malitesta
,
Claudio Pomo
,
Vito Walter Anelli
,
Tommaso Di Noia
,
Antonio Ferrara
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework.
UMAP (Adjunct Publication)
(2023)
Daniele Malitesta
,
Giandomenico Cornacchia
,
Claudio Pomo
,
Felice Antonio Merra
,
Tommaso Di Noia
,
Eugenio Di Sciascio
Formalizing Multimedia Recommendation through Multimodal Deep Learning.
CoRR
(2023)
Dario Di Palma
,
Vito Walter Anelli
,
Daniele Malitesta
,
Vincenzo Paparella
,
Claudio Pomo
,
Yashar Deldjoo
,
Tommaso Di Noia
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.
IIR
(2023)
Giandomenico Cornacchia
,
Vito Walter Anelli
,
Giovanni Maria Biancofiore
,
Fedelucio Narducci
,
Claudio Pomo
,
Azzurra Ragone
,
Eugenio Di Sciascio
Auditing fairness under unawareness through counterfactual reasoning.
Inf. Process. Manag.
60 (2) (2023)
Daniele Malitesta
,
Giandomenico Cornacchia
,
Claudio Pomo
,
Tommaso Di Noia
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis.
CoRR
(2023)
Vito Walter Anelli
,
Daniele Malitesta
,
Claudio Pomo
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Eugenio Di Sciascio
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis.
CoRR
(2023)
Vito Walter Anelli
,
Daniele Malitesta
,
Claudio Pomo
,
Alejandro Bellogín
,
Eugenio Di Sciascio
,
Tommaso Di Noia
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis.
RecSys
(2023)
Daniele Malitesta
,
Claudio Pomo
,
Tommaso Di Noia
Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation.
CoRR
(2023)
Tommaso Di Noia
,
Francesco Maria Donini
,
Dietmar Jannach
,
Fedelucio Narducci
,
Claudio Pomo
Conversational recommendation: Theoretical model and complexity analysis.
Inf. Sci.
614 (2022)
Tommaso Di Noia
,
Francesco Maria Donini
,
Dietmar Jannach
,
Fedelucio Narducci
,
Claudio Pomo
Towards a theoretical formalization of conversational recommendation.
CIKM Workshops
(2022)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Francesco Maria Donini
,
Vincenzo Paparella
,
Claudio Pomo
An Analysis of Local Explanation with LIME-RS.
IIR
(2022)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Dietmar Jannach
,
Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.
UMAP
(2022)
Vito Walter Anelli
,
Yashar Deldjoo
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Antonio Ferrara
,
Daniele Malitesta
,
Claudio Pomo
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
MORS@RecSys
(2022)
Vito Walter Anelli
,
Alejandro Bellogín
,
Antonio Ferrara
,
Daniele Malitesta
,
Felice Antonio Merra
,
Claudio Pomo
,
Francesco M. Donini
,
Eugenio Di Sciascio
,
Tommaso Di Noia
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.
SEBD
(2022)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Dietmar Jannach
,
Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.
CoRR
(2022)
Vito Walter Anelli
,
Yashar Deldjoo
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Antonio Ferrara
,
Daniele Malitesta
,
Claudio Pomo
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
DL4SR@CIKM
(2022)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Francesco Maria Donini
,
Vincenzo Paparella
,
Claudio Pomo
Adherence and Constancy in LIME-RS Explanations for Recommendation.
CoRR
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Antonio Ferrara
,
Daniele Malitesta
,
Felice Antonio Merra
,
Claudio Pomo
,
Francesco Maria Donini
,
Eugenio Di Sciascio
,
Tommaso Di Noia
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.
IIR
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Antonio Ferrara
,
Daniele Malitesta
,
Felice Antonio Merra
,
Claudio Pomo
,
Francesco M. Donini
,
Tommaso Di Noia
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.
CoRR
(2021)
Giandomenico Cornacchia
,
Francesco M. Donini
,
Fedelucio Narducci
,
Claudio Pomo
,
Azzurra Ragone
Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems.
CAiSE Workshops
(2021)
Juri Di Rocco
,
Davide Di Ruscio
,
Claudio Di Sipio
,
Phuong Thanh Nguyen
,
Claudio Pomo
On the Need for a Body of Knowledge on Recommender Systems (Short paper).
KaRS/ComplexRec@RecSys
(2021)
Vito Walter Anelli
,
Luca Belli
,
Yashar Deldjoo
,
Tommaso Di Noia
,
Antonio Ferrara
,
Fedelucio Narducci
,
Claudio Pomo
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.
RecSys
(2021)
Tommaso Di Noia
,
Francesco M. Donini
,
Dietmar Jannach
,
Fedelucio Narducci
,
Claudio Pomo
Conversational Recommendation: Theoretical Model and Complexity Analysis.
CoRR
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Antonio Ferrara
,
Daniele Malitesta
,
Felice Antonio Merra
,
Claudio Pomo
,
Francesco Maria Donini
,
Tommaso Di Noia
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.
RecSys
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Francesco Maria Donini
,
Vincenzo Paparella
,
Claudio Pomo
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper).
KaRS/ComplexRec@RecSys
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Claudio Pomo
Reenvisioning Collaborative Filtering vs Matrix Factorization.
CoRR
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Antonio Ferrara
,
Daniele Malitesta
,
Felice Antonio Merra
,
Claudio Pomo
,
Francesco Maria Donini
,
Tommaso Di Noia
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.
SIGIR
(2021)
Vito Walter Anelli
,
Alejandro Bellogín
,
Tommaso Di Noia
,
Claudio Pomo
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization.
RecSys
(2021)
Vito Bellini
,
Giovanni Maria Biancofiore
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Fedelucio Narducci
,
Claudio Pomo
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration.
EAIS
(2020)
Carmelo Ardito
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Domenico Lofú
,
Giulio Mallardi
,
Claudio Pomo
,
Felice Vitulano
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure.
HCSE
(2020)
Vito Walter Anelli
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Claudio Pomo
,
Azzurra Ragone
On the discriminative power of hyper-parameters in cross-validation and how to choose them.
RecSys
(2019)
Vito Walter Anelli
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Claudio Pomo
,
Azzurra Ragone
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them.
CoRR
(2019)
Vito Walter Anelli
,
Tommaso Di Noia
,
Eugenio Di Sciascio
,
Azzurra Ragone
,
Claudio Pomo
Semantic interpretability of latent factors for recommendation.
IIR
(2019)
Mariano Pulpito
,
Paolo Fornarelli
,
Claudio Pomo
,
Pietro Boccadoro
,
Luigi Alfredo Grieco
On fast prototyping LoRaWAN: a cheap and open platform for daily experiments.
IET Wirel. Sens. Syst.
8 (5) (2018)
Francesco Bruni
,
Claudio Pomo
,
Gaetano Murgolo
Four Key Factors to Design a Web of Things Architecture.
ICWE Workshops
(2017)