Bravo chairs! Sounds great! Reminds me of @rodrygo_santos anf @lbalby rocking #recsys2020. Now I am really bummed about missing in-person #sigir2022.
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12 Jul 2022
That's what we did for #RecSys2020, with two live presentations for each talk (to account for diff. timezones). Not a single no-show IIRC.
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17 May 2022
In RecSys2020 Tutorial Kaggle GMs share quite a few of their secrets.
One of them is the Combining Categories technique which can give your tree model a significant boost.
But how do you implement this out without writing a lot of boilerplate, error-prone code? 🤔
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26 Feb 2022
Plus you can use how you combine features to control overfitting.
On top of that, the authors of the tutorial also show you a simple method for how to evaluate features!
Wow, what a read!
The RecSys2020 tutorial bt @NVIDIAAI, where KGs spill their secrets 😄
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29 Sep 2021
One year after our "carousel personalization" work at #RecSys2020, I am extremely honored to be once again shortlisted among the best papers at #RecSys2021. Thank you @ACMRecSys, and congratulations to
@olivierjeunen who eventually won the "student" award for his excellent work!
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28 Apr 2021
A blog post on our #RecSys2020 paper "Contextual and Sequential User Embeddings for Music Recommendation". Work with research interns Casper Hansen Christian Hansen & @SpotifyResearch @lucasmaystre @erishabh Brian Brost @kslw_ . Hope you enjoy reading it.
research.atspotify.com/conte…
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15 Mar 2021
In our experience with #RecSys2020, authors were asked to submit a short 2min teaser for advertisement a prerecorded 10min talk to serve as a backup. Then we had each author present live twice with an 11h interval to suit attendees across the globe.
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22 Jan 2021
Nice. Check out some cool tabular data insights from the #RecSys2020 conference challenge: blog.twitter.com/engineering…
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21 Jan 2021
広告システムにおいて表示位置等のバイアスに対してCounterfactual MLを使ってバイアスを取り除くという #RecSys2020 の論文を読みました。ホットなトピックが平易に定式化されています / Unbiased Ad Click Prediction for Position-aware Advertising Systems - gunosydm scrapbox.io/gunosydm/Unbiase…
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3 Dec 2020
OHARS 2020 workshop proceedings are now available at CEUR-WS.org. Online Misinformation- and Harm-Aware Recommender Systems! @tommantonela89 @arkaitz #recsys2020
ceur-ws.org/Vol-2758/
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20 Nov 2020
If you are interested in our work on probing BERT for conversational recommendation from #RecSys2020---or other interesting papers from dutch/belgian-based researchers in top-tier IR conferences---register to @DIR_2020 at dir2020.be/ for🆓 !
20 Nov 2020
@_Guz_ with "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation", published at #RecSys2020; analysing the knowledge stored in BERT’s parameters and studies how BERT performs in conversational recommendation tasks. 4/10
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20 Nov 2020
"Lecturer for a day" at @unimib for @MatteoPalmonari's course on #AI: we talked about our work with @fb_vinid, and discussed how to build a #research roadmap in an industry dominated by few giants. Btw, #recsys2020 paper is now available: dl.acm.org/doi/10.1145/33833…!
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20 Nov 2020
@_Guz_ with "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation", published at #RecSys2020; analysing the knowledge stored in BERT’s parameters and studies how BERT performs in conversational recommendation tasks. 4/10
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20 Nov 2020
Good news! The videos of all the #complexrec2020 workshop talks at #recsys2020 (including @christine_bauer's keynote) can now be found on the #recsys YouTube channel: (youtu.be/nAevW75MzQA)
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8 Nov 2020
Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for… by Benedikt Schifferer link.medium.com/ktD5xjatfbb
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6 Nov 2020
8 of our crew went to #RecSys2020, both to present research and to support the conference and community. boisestate.edu/computing/202…
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2 Nov 2020
Listening to @yg_cinar discuss her #RecSys2020 paper on "Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation"; online seminar @GlasgowCS. Paper available at dl.acm.org/doi/10.1145/33833…
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31 Oct 2020
Our #recsys2020 tutorial “Counteracting Bias and Increasing Fairness in Search and Recommender Systems” is available now on Youtube @chirag_shah
youtu.be/TtF6exuBbSU
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