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shima__shima
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Benny Kille
@bennykille
Hope you enjoyed our tutorial. Talk to me if you have questions about it #recsys2015 #newsreel #clef2015
2015-09-16 18:49:30
Domonkos Tikk
@domonkostikk
Puttong things together for search & recommendation #elasticsearch #ranking #recsys2015 large scale tut pic.twitter.com/xx3UPDpnSk
2015-09-16 18:53:18
拡大
esh
@eshvk
.@naga86 Good old graph cuts in a Netflix presentation on MF. #recsys2015 pic.twitter.com/w3df8R1U49
2015-09-16 18:55:06
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Andrey Danilchenko
@mir_nomer_nol
Learning to rank with ElasticSearch #recsys2015 pic.twitter.com/g9Rd6dGjJ4
2015-09-16 18:57:55
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Konstantin
@Kontinuit
How much do the laptops and tablets of participants increase the room temperature at conferences? We are talking 100-150 machines #recsys
2015-09-16 18:57:58
RecSysChallenge
@recsyschallenge
Have an idea for a challenge at #recsys2016? Send an email to info@recsyschallenge.com #recsys2015 #recsys pic.twitter.com/0zM1aCOPTR
2015-09-16 18:58:59
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Lukas Toma
@lukas_toma
lot of data and simple algorithm often triumphs over better algorithm on smaller data. #recsys2015 #scalableRStut
2015-09-16 19:00:20
Fabio Gasparetti
@FabGasparetti
Behind the scene of Spotify app #spotify #recsys #umap #kafka #cassandra pic.twitter.com/58ku9gxkYV
2015-09-16 19:00:59
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Lukas Toma
@lukas_toma
lesson 2: Spark is awesome #ApacheSpark #RecSys2015 #scalableRStut
2015-09-16 19:02:57
esh
@eshvk
.@MrChrisJohnson presenting @SpotifyEng's implicit MF stack. #musicrecs #recsys2015 pic.twitter.com/ubyvds2mRe
2015-09-16 19:02:59
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RecSysChallenge
@recsyschallenge
Wenliang presenting their approach in the #recsyschallenge2015 #recsys2015 pic.twitter.com/oC5lXLJQHk
2015-09-16 19:03:15
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Cataldo Musto
@cataldomusto
Talking about #spark at #recsys2015. Trending technologies. @rsflt pic.twitter.com/SFeXEkJZNc
2015-09-16 19:04:37
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Michael Ekstrand
@mdekstrand
Cool approach: deep learning on song audio to learn CF latent feature vectors for new songs at Spotify. #recsys2015
2015-09-16 19:06:23
D Parra ~ GPH: generative pre-trained human
@denisparra
3 future works suggested by @mdekstrand in his #recsys2015 paper md.ekstrandom.net/research/pubs/… were already studied by us sciencedirect.com/science/articl…
2015-09-16 19:06:49
Alan Said
@alansaid
Slides from @abellogin’s and mine tutorial on #recsys eval and reproducibility j.mp/1OXpgyT #recsys2015 #evaltut
2015-09-16 19:16:52
D Parra ~ GPH: generative pre-trained human
@denisparra
#mustread C. Johnson paper on logistic matrix factorization for implicit feedback data stanford.edu/~rezab/nips201… #recsys2015
2015-09-16 19:16:58
Alan Said
@alansaid
Also, a tutorial website for the #evaltut j.mp/1OXpje2 #recsys2015 @abellogin
2015-09-16 19:17:16
Mark Graus
@newmarrk
@Spotify and @netflix presenting their challenges and insights at #recsys2015 on interactive recommendations. This week'll be interesting.
2015-09-16 19:17:45
Cornelius A. Ludmann
@ludmann
”Interaction means work“ ... for the user #recsys2015 pic.twitter.com/ib9rVqZq94
2015-09-16 19:19:23
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Domonkos Tikk
@domonkostikk
Simple Implemetation of location-aware #recsys with #elasticsearch and decay function #recsys2015 large scale tut pic.twitter.com/nuemS0JcIn
2015-09-16 19:19:40
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しましま
@shima__shima
“What users say they like is not always what they watch/listen” #recsys2015 tutorial: Interactive Recommender Systems
2015-09-16 19:20:56
Vikas
@vikasnitr
"What users like is not always what they watch or listen" @netflix @Spotify #recsys2015
2015-09-16 19:21:32
Sole Pera
@DrCh0le
"What users say they like is not always what they watch/listen"... #recsys2015 pic.twitter.com/LJ2EnGQi9T
2015-09-16 19:21:55
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Frederick Ayala
@fredayala
An idea of what it takes to create a #Spotify Radio :) #recsys pic.twitter.com/fIkPlNP6YG
2015-09-16 19:22:46
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しましま
@shima__shima
対話的推薦のチュートリアル recsys.acm.org/recsys15/tutor… Netflix と Spotify の中の人．ぎっちり席を詰めて満員御礼状態だ．
2015-09-16 19:26:12