Paolo Cremonesi

[Paolo Cremonesi @crmpla67]

With a few selected prompts, I can identify which LLM engine is being used by #ChatbotArena. At this point, if I am a malicious agent, I can carry out several rounds of evaluation, and each time I identify my target LLM, I can vote accordingly.

[Paolo Cremonesi @crmpla67]

The LERI workshop at @ACMRecSys started with a very interesting presentation from @netflix researcher @panjiangwei

[Paolo Cremonesi @crmpla67]

We are proud to announce that a team of @Polimi students the winners of the prestigious @ACMRecSys Challange 2023 as the best academic team

[Xavier (Xavi) Amatriain @xamat]

Netflix algorithms vs. GPT4. I know I am shooting myself in the foot here a bit, but I am getting much better Netflix recommendations from GPT4 than from Netflix.

[Nicolò Felicioni @nicolofelicioni]

I am thrilled to announce that our paper "Off-Policy Evaluation with Deficient Support Using Side Information" has been accepted at #NeurIPS2022 !🥳

@Maurizio_fd M. Restelli @crmpla67

[Naomi Saphra @nsaphra]

Have you ever noticed how Chinese and American researchers both publish at #NeurIPS, go to the same conference---and then barely cite or talk to each other? @BingchenZhao @gu_yuling @in4dmatics & I have, and we'll be presenting on it at @AiCultures! https://t.co/w0U9zud3dT

[Paolo Cremonesi @crmpla67]

A Milano i nuovi guru del supercalcolo @sole24ore https://t.co/cqw3RDw2lQ

[Cleafy LABS @cleafylabs]

We’re thrilled to announce that our @Cleafy LABS research “TeaBot: a new Android malware emerged in Italy, targets banks in Europe” has been quoted into @Apple’s paper “Building a Trusted Ecosystem for Millions of Apps”.
Read the full report➡️https://t.co/iq2deoWYd8
#teabot

[Paolo Cremonesi @crmpla67]

Thanks to @moviri, @contentwisetv and @awscloud for investing in this project.

[Paolo Cremonesi @crmpla67]

I have a vision, a vision in which quantum computing will push artificial intelligence far beyond the limits of our imagination. I believe we are on the brink of a new era.

[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

[Paolo Cremonesi @crmpla67]

With this first project we are just peeking at what the future promises for all of us, and I hope this is just the beginning of a new, great adventure.
Call me naïve, but that's what makes me a researcher.

[Paolo Cremonesi @crmpla67]

A beautiful and easy-to-read blog post from @balazshidasi with takeaways from #RecSys2021

[Paolo Cremonesi @crmpla67]

https://t.co/0g3GY8C77x

[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!

[Entropy MDPI @Entropy_MDPI]

#mdpientropy "Feature Selection for Recommender Systems with Quantum Computing" https://t.co/TwIOoN9DuC

#quantumcomputing
#quantumannealing
#recommendersystems
#featureselection

[Entropy MDPI @Entropy_MDPI]

#mdpientropy "Feature Selection for Recommender Systems with Quantum Computing" https://t.co/TwIOoN9DuC

#quantumcomputing
#quantumannealing
#recommendersystems
#featureselection

[Paolo Cremonesi @crmpla67]

Thanks to @contentwisetv for supporting the team!

[Paolo Cremonesi @crmpla67]

I'm proud to announce that a team of students from @polimi, coordinated by @Maurizio_fd, @BernardisCesare and @FernandoBPerezM , won the first place of the academic part of the @ACMRecSys @recsyschallenge 2021, co-sponsored by @Twitter

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

I am glad we were invited to present our TOIS paper "A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research" at #SIGIR2021. The second session will be at 2-3 AM for me, I have never given a presentation this late. Let's see how it goes😂

[Paolo Cremonesi @crmpla67]

@Jiminy_Kirket @karlhigley You know when Detective Columbo starts asking questions? Like @Maurizio_fd when asking for source code.

[Ben Lorica 罗瑞卡 @bigdata]

1/ In this episode of #TheDataExchangePod I speak w/ @crmpla67 @maurizio_fd of the #RecSys group @polimi. We discussed their recent survey papers on the use of #DeepLearning in recommendation systems: they found it difficult to reproduce research results
https://t.co/FtOPnB6hSr