
Pablo Castells
@pcastells
Professor at Universidad Autónoma de Madrid
ID: 46131106
http://castells.org 10-06-2009 15:00:29
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826 Followers
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Now Javier Sanz-Cruzado is giving an overview of INFINITECH-H2020 to the #finrec #recsys2022 project - including hearing a snippet by John Soldatos et al




Stellar relevance dataset combining classic LTR features with text queries and documents. Classic LTR with GBDT is still alive. From Sean MacAvaney Nicola Tonellotto et al. Thanks to Leo Boytsov for pointing me to the paper and dataset. istella.ai/data/istella22… eprints.gla.ac.uk/268514/

"NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution" by my student Chenglong Ma, along with Pablo Castells and Yongli Ren, presented at #cikm2022, is now available for download marksanderson.org/publications/m… RMIT Centre for Info Discovery & Data Analytics RMIT School of Computing Technologies


Happy to be co-organizer of the Workshop on Learning and Evaluating Recommendations with Impressions, that will be held at #RecSys2023 this September. ACM RecSys Paolo Cremonesi Pablo Castells Justin Basilico Paper submission is in early august, check our CFP here recsyspolimi.github.io/leri2023/cfp/

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 recsyspolimi.github.io/leri2023/cfp/ ACM RecSys

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 recsyspolimi.github.io/leri2023/cfp/ ACM RecSys

Listening to Yaxiong Wu 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


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 Harrie Oosterhuis in Hall406CX at 14:40 Singapore time! Paper: dl.acm.org/doi/10.1145/36…

.Aleksandr V. Petrov is presenting our work gSASRec: reducing overconfidence in sequential recommendation trained with negative sampling ACM RecSys #recsys2023


Huge congratulations to Chenglong Ma for acceptance of his #TheWebConf2024 paper "Temporal Conformity-aware Hawkes Graph Network for Recommendations" with Yongli Ren Pablo Castells RMIT School of Computing Technologies @AdmsCentre


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 Alaofi Charlie Clarke Negar Arabzadeh arxiv.org/abs/2404.08137

Photos from Chenglong Ma's presentation of "Temporal Conformity-aware Hawkes Graph Network for Recommendations" at the #TheWebConf2004 last week. Preprint available here marksanderson.org/publications/m… Pablo Castells RMIT School of Computing Technologies @AdmsCentre
