Riccardo Nembrini

PhD student @polimi, Italy.

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Happy to be co-organizer of the Workshop on Learning and Evaluating Recommendations with Impressions, that will be held at #RecSys2023 this September. @ACMRecSys @crmpla67 @pcastells @JustinBasilico

Paper submission is in early august, check our CFP here https://t.co/YV65ePDCA5

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

"Towards Recommender Systems with Community Detection and Quantum Computing" @RicNembrini @rugantio
Shows it is possible to use currently available quantum computers to build a recommender system with community detection

https://t.co/cccorGydz4

#recsys #RS_c #quantumcomputing

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Next week at #SIGIR2022 to present our paper "Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers" written with @RicNembrini F. Moroni @frrncl @guglielm0f @crmpla67

See you there!

https://t.co/oPfHtiXvNi

#recsys #RS_c #QuantumComputing

[Nicola Ferro @frrncl]

Happy that our paper “Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers” w/ @crmpla67 @guglielm0f @Maurizio_fd @RicNembrini F. Moroni has been accepted as perspective paper at #sigir2022 @SIGIRConf

[Moviri @moviri]

A collaboration between @moviri, @contentwisetv and @AWS bears quantum fruit! Our research team, led by Paolo Cremonesi, develops an innovative quantum approach to improve recommendation algorithms using Amazon Braket.

Read the AWS Quantum Computing Blog: https://t.co/kB8wCZkVbu

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Tomorrow I'll be speaking at #qubits2021 of
@dwavesys to present our paper "Feature Selection for Recommender Systems with Quantum Computing" where we build a feature selection approach for recommendation systems. Open access at https://t.co/jOjq1BPjdD

#QuantumComputing

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Now that we are all back from our holidays let me share our latest work! In "Feature Selection for Recommender Systems with Quantum Computing" we explore how to build a hybrid feature selection approach that can be solved on today's quantum computers on real datasets

[Paolo Cremonesi @crmpla67]

The first journal paper from our new team working on Quantum Computing at @polimi, in cooperation with @contentwisetv . A new research adventure!

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

I am glad to announce that two new PhD students Riccardo Nembrini and Costantino Carugno have joined our research group. We will work with @crmpla67 on the rapidly expanding field of applied quantum machine learning!

Scholarships funded by @contentwisetv (@moviri group)