Paolo Cremonesi

Paolo Cremonesi

Politecnico di Milano

H-index: 36

Europe-Italy

About Paolo Cremonesi

Paolo Cremonesi, With an exceptional h-index of 36 and a recent h-index of 28 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Recommender Systems, Computer Performance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023

Quantum Computing for Information Retrieval and Recommender Systems

QuantumCLEF-Quantum Computing at CLEF

Characterizing impression-aware recommender systems

Benchmarking adaptative variational quantum algorithms on QUBO instances

Incorporating impressions to graph-based recommenders

Workshop on Learning and Evaluating Recommendations with Impressions (LERI)

Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective

Paolo Cremonesi Information

University

Position

Dept. Computer Engineering

Citations(all)

8126

Citations(since 2020)

5143

Cited By

4888

hIndex(all)

36

hIndex(since 2020)

28

i10Index(all)

100

i10Index(since 2020)

65

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Paolo Cremonesi Skills & Research Interests

Recommender Systems

Computer Performance

Top articles of Paolo Cremonesi

Title

Journal

Author(s)

Publication Date

Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023

ACM SIGIR Forum

Maurizio Ferrari Dacrema

Pablo Castells

Justin Basilico

Paolo Cremonesi

2024/1/22

Quantum Computing for Information Retrieval and Recommender Systems

Maurizio Ferrari Dacrema

Andrea Pasin

Paolo Cremonesi

Nicola Ferro

2024/3/23

QuantumCLEF-Quantum Computing at CLEF

Andrea Pasin

Maurizio Ferrari Dacrema

Paolo Cremonesi

Nicola Ferro

2024/3/23

Characterizing impression-aware recommender systems

CEUR WORKSHOP PROCEEDINGS

FB Perez Maurera

M Ferrari Dacrema

Pablo Castells

Paolo Cremonesi

2023

Benchmarking adaptative variational quantum algorithms on QUBO instances

Gloria Turati

Maurizio Ferrari Dacrema

Paolo Cremonesi

2023/9/17

Incorporating impressions to graph-based recommenders

Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18th-22nd September

Fernando Benjamín Pérez Maurera

Maurizio Ferrari Dacrema

Pablo Castells

Paolo Cremonesi

2023

Workshop on Learning and Evaluating Recommendations with Impressions (LERI)

Maurizio Ferrari Dacrema

Pablo Castells

Justin Basilico

Paolo Cremonesi

2023/9/14

Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective

CEUR WORKSHOP PROCEEDINGS

Riccardo Pellini

M Ferrari Dacrema

Paolo Cremonesi

2023

qclef: A proposal to evaluate quantum annealing for information retrieval and recommender systems

Andrea Pasin

Maurizio Ferrari Dacrema

Paolo Cremonesi

Nicola Ferro

2023

Towards improved qubo formulations of ir tasks for quantum annealers

13th Italian Information Retrieval Workshop, IIR 2023

Riccardo Pellini

Maurizio Ferrari Dacrema

Paolo Cremonesi

2023

Impression-Aware Recommender Systems

arXiv preprint arXiv:2308.07857

Fernando B. Pérez Maurera

Maurizio Ferrari Dacrema

Pablo Castells

Paolo Cremonesi

2023/8/15

Impressions in recommender systems: Present and future

13th Italian Information Retrieval Workshop, IIR 2023

Fernando B Pérez Maurera

Maurizio Ferrari Dacrema

Pablo Castells

Paolo Cremonesi

2023

Quantum Computing Research Lines in the Italian Center for Supercomputing

Alessandro Barenghi

Paolo Cremonesi

Gerardo Pelosi

2023/7/2

Feature Selection via Quantum Annealers for Ranking and Classification Tasks

CEUR WORKSHOP PROCEEDINGS

Maurizio Ferrari Dacrema

Fabio Moroni

Riccardo Nembrini

Nicola Ferro

Guglielmo Faggioli

...

2022

Offline evaluation of recommender systems in a user interface with multiple carousels

Frontiers in big Data

Maurizio Ferrari Dacrema

Nicolò Felicioni

Paolo Cremonesi

2022/6/9

Analyzing and improving stability of matrix factorization for recommender systems

Journal of Intelligent Information Systems

Edoardo D’Amico

Giovanni Gabbolini

Cesare Bernardis

Paolo Cremonesi

2022/4

Off-policy evaluation with deficient support using side information

Advances in Neural Information Processing Systems

Nicolò Felicioni

Maurizio Ferrari Dacrema

Marcello Restelli

Paolo Cremonesi

2022/12/6

Towards recommender systems with community detection and quantum computing

Riccardo Nembrini

Costantino Carugno

Maurizio Ferrari Dacrema

Paolo Cremonesi

2022/9/18

Feature Selection for Classification with QAOA

Gloria Turati

Maurizio Ferrari Dacrema

Paolo Cremonesi

2022/9/18

Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers

Maurizio Ferrari Dacrema

Fabio Moroni

Riccardo Nembrini

Nicola Ferro

Guglielmo Faggioli

...

2022/7/6

See List of Professors in Paolo Cremonesi University(Politecnico di Milano)

Co-Authors

H-index: 63
Dietmar Jannach

Dietmar Jannach

Alpen-Adria-Universität Klagenfurt

H-index: 52
Markus Schedl

Markus Schedl

Johannes Kepler Universität Linz

H-index: 44
Martha Larson

Martha Larson

Technische Universiteit Delft

H-index: 42
Franca Garzotto

Franca Garzotto

Politecnico di Milano

H-index: 42
Shlomo Berkovsky

Shlomo Berkovsky

Macquarie University

H-index: 41
Giuliano Casale

Giuliano Casale

Imperial College London

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