Pablo Castells

Principal Research Scientist at Amazon

[Mark Sanderson @IR_oldie]

Photos from @ChenglongM's presentation of "Temporal Conformity-aware Hawkes Graph Network for Recommendations" at the #TheWebConf2004 last week. Preprint available here https://t.co/PCghK2eXeH @pcastells @RMITComputing @AdmsCentre

[Mark Sanderson @IR_oldie]

On arXiv now is a draft chapter on "Generative Information Retrieval Evaluation", examining both GenIR evaluation and using generative for evaluation. Love to hear from you all of references we missed. Co-authored by @Marwah_k @claclarke @NegarEmpr https://t.co/0KkvRBNavD

[Gabriel Bénédict @le__gab]

Are you into generative AI for document retrieval, grounded answer generation, recommendation, knowledge graphs and other modalities?
Our paper submission deadline is coming up:
🗓 April 25th
Gen-IR #SIGIR2024
https://t.co/ej3iCcvKyA

[ACM RecSys @ACMRecSys]

💡Important PSA: are you a seasoned #RecSys veteran who already has their single-column ACM template ready to go?

We're aligning formatting with other ACM conferences to use the double-column format! Spread the word so no one has to reformat in panic minutes before the deadline.

[ACM RecSys @ACMRecSys]

'More work, less talk' may be a day-to-day motto, but we actually are looking for talks now!

The call for industry talks is out: https://t.co/6h9o32jeaD. #RecSys2024 is looking for industry practitioners who tackle challenges and find solutions to real-problems. Share your work!

[Mark Sanderson @IR_oldie]

Huge congratulations to @ChenglongM for acceptance of his #TheWebConf2024 paper "Temporal Conformity-aware Hawkes Graph Network for Recommendations" with Yongli Ren
@pcastells @RMITComputing @AdmsCentre

[ACM RecSys @ACMRecSys]

Big congratulations to the winner of the Best Paper Award at #RecSys2023!

[Norman Knyazev @NormanKnyazev]

Interested to know how we can combine effective confidence modelling with competitive recommendation performance and why that matters?

Then join the presentation of our #RecSys2023 work with @HarrieOos in Hall406CX at 14:40 Singapore time!

Paper: https://t.co/rbBxuDRz3f

[Iadh Ounis @iadh]

Listening to @yashonwu presenting our work at #recsys2023 - the paper is entitled “Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback”; Now in Session 7: Interactive Recommendation 1

[Craig Macdonald @craig_macdonald]

.@asash is presenting our work gSASRec: reducing overconfidence in sequential recommendation trained with negative sampling @ACMRecSys #recsys2023

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Extended deadline for LERI23 at #RecSys2023
Submission due on August 10th, 2023!

We welcome papers on all aspects of impressions for #recsys: models including sequence and context-aware, evaluation, OPE, perspectives, industry...
Check our CFP https://t.co/YV65ePDCA5
@ACMRecSys

[Maurizio Ferrari Dacrema 🇪🇺 @Maurizio_fd]

Still two weeks available to submbit to LERI23, the Workshop on Learning and Evaluating Recommendations with Impressions at #RecSys2023
Submissions may cover all aspects related to the use of impressions for #recsys

Check our CFP here https://t.co/YV65ePEapD

@ACMRecSys

[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

[Michael Black @Michael_J_Black]

In the LLM-science discussion, I see a common misconception that science is a thing you do and that writing about it is separate and can be automated. I’ve written over 300 scientific papers and can assure you that science writing can’t be separated from science doing. Why? 1/18

[Mark Sanderson @IR_oldie]

"NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution" by my student Chenglong Ma, along with @pcastells and Yongli Ren, presented at #cikm2022, is now available for download https://t.co/yX3N18MNOc @rmit_cidda @RMITComputing

[Jo Kristian Bergum @jobergum]

Stellar relevance dataset combining classic LTR features with text queries and documents. Classic LTR with GBDT is still alive. From @macavaney @ntonellotto et al.

Thanks to @srchvrs for pointing me to the paper and dataset.

https://t.co/s1a0UcJftR
https://t.co/rPDDdrN4W3

[ACM Transactions on Recommender Systems (ACM TORS) @ACM_TORS]

Back home from #recsys2022? Then it's time to think about your next project and keep in mind that #ACM_TORS has currently three special issues with open calls relating to #trust, #CausalInference and #Evaluation of #recsys: https://t.co/CzYRUZa3JF #CfP

[Pablo Castells @pcastells]

What a wonderful week at #recsys2022 this was! Thanks and kudos to the General Chairs, and all the organizing team. Great program, awesome workshops and tutorials. Looking forward to #recsys2023 in Singapore!

[Craig Macdonald @craig_macdonald]

Now @JavierSanzCruza is giving an overview of @Infinitech_EU to the #finrec #recsys2022 project - including hearing a snippet by @jsoldatos et al

[Eugene Yan @eugeneyan]

I'm psyched to be giving a keynote at the @ACMRecSys Workshop for Online Recommender Systems. I'll be talking about ...

... juice.

And a bit about real-time recommender systems.

Friday, Sep 23rd, 2pm. Come say hi!

Details: https://t.co/pC4q45eEUZ, @orsum_ws

#RecSys2022