We have a vacancy for a #postdoc position at #UCL. The postdoc will pursue research projects on the intersection of #ML, #NLP, and #IR.
Follow the link to learn more about the position or share it to whomever may be interested!
https://t.co/XZt9TrzfKg
#NeurIPS2018#nips2018
The slides for our #www2018 (& CIKM'17) tutorial on "Inferring User Needs & Tasks" are finally online!
Brief outline of tutorial:
- Characterizing Tasks
- Task extraction algorithms
- Task based evaluation
- Applications of tasks
@TheWebConf#cikm2018
https://t.co/hScPIl2E7F
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: https://t.co/SHpHmh7C6n
@learnIRWSDM
"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
"Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits" accepted at #recsys2018
This full paper describes how we incorporate explanations with bandit based recommendations. https://t.co/iMQIOicjqb
Good warnings about the Tyranny of Metrics by @jerryzmuller, some relevant for #ABTesting and the Overall Evaluation Criterion (#OEC) discussed in https://t.co/4mUi2uCrSM .
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
"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
Outline for the tutorial on Understanding & Inferring User Tasks and Needs @TheWebConf
https://t.co/RoBQc8QXtS
The tutorial begins 9 AM on Tuesday in Salon Gratte-Ciel.
#thewebconf#www2018
-- 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
Post coffee break, we have @alexbeutel from @googleresearch giving a keynote talk about Neural Recommender systems
#wsdm2018 LearnIR workshop https://t.co/H39IO7UlST
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: https://t.co/coTaKXB5iH