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LearnIR WSDM

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WSDM 2018 Workshop on Learning from User Interactions

เข้าร่วม Ekim 2017
144 กำลังติดตาม56 ผู้ติดตาม
LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
IRJ Special Issue on *Learning from User Interactions* -- the Call for Papers for the Information Retrieval Journal @SpringerIRJ Special Issue on *Learning from User Interactions* is out. Initial submission due: January 15, 2019 Details: goo.gl/rhCuZs @learnIRWSDM
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LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
"Market Design & Computerized Marketplaces" - Prof. Alvin Roth, Economics Nobel Laureate #kdd2018 keynote talk on: - traditional marketplaces: school matching - computer aided markets: Uber, AirBnb & Tinder - future markets: self-driving cars Here's a brief overview: 1/n
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LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
"Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits" accepted at #recsys2018 This full paper describes how we incorporate explanations with bandit based recommendations. twitter.com/SpotifyResearc…
Spotify Research@SpotifyResearch

Congratulations to @mcinerneyj Ben Lacker, Samantha Hansen, @karlhigley Hugues Bouchard, @aloisgr and @erishabh from @Spotify for their paper "Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits" accepted at #recsys2018

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LearnIR WSDM รีทวีตแล้ว
RuSSIR
RuSSIR@RuSSIR·
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LearnIR WSDM รีทวีตแล้ว
Spotify Research
Spotify Research@SpotifyResearch·
Good morning #TheWebConf, Spotify London is looking for research scientists to work on laying the foundations of Spotify technologies, redefining state of the art & contributing to the research community by publishing papers. Talk to @mounialalmas & @erishabh here @TheWebConf
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LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
"Hope overrides self-interest, self-interest overrides reason". While designing a system requiring large coordination complexity, we need to provide the right incentives to encourage all agents to act in a coordinated manner. #thewebconf keynote
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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
Deep PropDCG: counterfactual learning to rank for optimizing DCG - Aman Agarwal #wsdm2018 LearnIR workshop
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LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
"Counterfactual Learning to Rank for Optimizing DCG" by Aman Agarwal #wsdm2018 LearnIR workshop
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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
"Counterfactual Learning to Rank for optimizing DCG" - Aman Agarwal #wsdm2018 LearnIR workshop
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LearnIR WSDM รีทวีตแล้ว
Rishabh Mehrotra
Rishabh Mehrotra@erishabh·
-- Squashing gates in GRUs hurts memory in long range sequential neural models. -- Factored GRU structure is helpful due to block diagonal structure -- Increased RNN memory & less computation @alexbeutel summarizing the upcoming #aistats2018 paper #wsdm2018 LearnIR keynote
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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
Movies dynamics over time -- (say) how movie popularity changes when it wins an award -- @alexbeutel keynote #wsdm2018 LearnIR workshop
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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
Neural Recommender System, gives substantial gains without fine-tuning temporal features -- @alexbeutel #wsdm2018 LearnIR keynote
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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
Post coffee break, we have @alexbeutel from @googleresearch giving a keynote talk about Neural Recommender systems #wsdm2018 LearnIR workshop twitter.com/learnIRWSDM/st…
LearnIR WSDM@learnIRWSDM

We're excited to announce that @alexbeutel (Senior Research Scientist @googleresearch) will give a keynote talk on "User Dynamics and Context in Neural Recommender Systems" at the #wsdm2018 Learn-IR workshop on Friday 9th Feb Workshop schedule: #program" target="_blank" rel="nofollow noopener">task-ir.github.io/wsdm2018-learn…

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LearnIR WSDM
LearnIR WSDM@learnIRWSDM·
Which destinations to consider & how long to stay" are important questions that need to be addressed -- @Lynyus #wsdm2018 LearnIR workshop
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ค้นพบ

@TheWebConf @jerryzmuller @mounialalmas @erishabh @alexbeutel @googleresearch @Lynyus @elonmusk