Top Tweets for #ReSys
🚨 New paper alert
Prof. Magali Talandier & I, assessed the #ecological #performance of #French #territories using a #spatially-#nested #approach.
Stay tuned to #ReSys #Project, other articles will be published soon on #economic #resilience and #ecological #economics.

Paying too much attention to 3rd decimal figure differences in offline NDCG@k or Precision@k numbers in #resys collaborative filtering algorithms is not a very good idea imho.
We are delighted with this #NewFoundations award from @irishresearch. Looking forward to working with @DCU @DCU_IoE @DCU_ecrc @unisa @ColmCambodia
Delighted to receive #NewFoundations award from @IrishResearch! How to build #ECD #ECEC systems that withstand crisis and disruption? Our project #RESYS shares knowledge between global south and north. @SeeBeyondBorder @EbrahimHasina1 @unisa @DCU_IoE @dcediy @ISSA_ECD @af_ecn

#ICYMI: Congrats to the five research projects at DCU who were awarded funding as part of the @IrishResearch New Foundations 2020 scheme. The announcement was made by @DeptofFHed Minister @SimonHarrisTD this week
Read about DCU's research projects here: https://t.co/3iQ5TFfQ7X

Con el sistema de cajones #Resys basado en #Arduino #Nano, ya no tienes que preguntarte donde están esas #resistencias. Simplemente escriba el valor necesario y el cajón adecuado se iluminará con #LED #direccionables #WS2812B automáticamente. https://t.co/QWCbxk0Ol9 #LCD #3D
Session-based #resys? Check out our study of similarity blockers in person or grab the poster pdf at: https://t.co/dWRgs0orJC #recsys2016
we're fighters 😂😂😂
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#resys #teamresys #teamwork #likeforlike #likeforfollow @ BTN… https://t.co/420LdZ6ze5
tim resys 50 oke 😁
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#team #resys #LSM #research #likeforlike #likeforfollow https://t.co/5vPFtMAEHT
RT: @ch0ra1: 用 #ReSys 标签搜索亦可 RT @Fenng: 现在豆瓣办公室也在举办 ReSys 社区技术聚会. 请大家关注 @npchen @xyb @googollee 几位同学的推.
RT @clickstone: #resys "If I have 3 million customers on the Web, I should have 3 million stores on the Web." – Jeff Bezos, CEO of Amazon
RT @clickstone: 调查显示,45%的用户更加喜欢到有产品推荐功能的网站上去购物,而在过去6个月里花费了¥1000以上购买商品的用户里,这个数字提高到了69%。
http://bit.ly/138yIQ
#resys
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