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AMIR 2019 : 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval

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Link: http://amir-workshop.org/
 
When Apr 14, 2019 - Apr 14, 2019
Where Cologne, Germany
Submission Deadline Mar 15, 2019
Notification Due Mar 30, 2019
Final Version Due Apr 5, 2019
Categories    information retrieval   machine learning   meta learning   artificial intelligence
 

Call For Papers

The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) brings together researchers from the fields of algorithm selection and meta-learning as well as information retrieval http://amir-workshop.org/. The AMIR workshop is held on the 14th of April 2019 in conjunction with the 41st European Conference on Information Retrieval (ECIR) in Cologne, Germany.

AMIR aims at achieving the following goals:

- Raise awareness of the algorithm selection problem in the information retrieval community

- Find solutions to address and solve the algorithm selection problem in IR

- Familiarize the IR community with existing research and tools from the field of algorithm selection and meta-learning

- Identify the potential for automated algorithm selection and meta-learning for IR applications

- Explore if and how information retrieval techniques can be applied to solve the algorithm selection problem.

More precisely, topics relevant for the workshop include but are not limited to

Algorithm Selection
Algorithm Configuration
Automated Machine Learning (AutoML)
Meta-Learning
Neural Network Architecture Search
Hyper-Parameter Optimization and Tuning
Evolutionary Algorithms
Evaluation Methods and Metrics
Benchmarking
Meta-Heuristics
Learning to Learn
Automated Information Retrieval (AutoIR)
Automated Natural Language Processing (AutoNLP)
Automated User Modelling (AutoUM)
Algorithm Selection as User Modeling Task
Recommender Systems for Algorithms
Automated Recommender Systems (AutoRecSys)
Search Engines for Algorithms
Automated Evaluations (AutoEval)
Automated A/B Tests (AutoA/B)

Submission types
=================
Full Papers (max. 12 pages + references)
Short Papers / Posters (max. 6 pages + references)
Nectar papers (1 page + references)

Full & short papers shall present original research, novel datasets, real-world applications (demonstrations), literature surveys, or critical discussions (position paper). Nectar papers shall summarize substantial research results that were already published at high-impact journals or conferences.

All accepted submissions shall be published in the CEUR Workshop Proceedings Series.


Organization
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Joeran Beel – Trinity College Dublin – School of Computer Science & Statistics – ADAPT Centre – Ireland

Lars Kotthoff – University of Wyoming – Department of Computer Science – Meta Algorithmics, Learning and Large-scale Empirical Testing Lab – USA

Contact
========
Web: http://amir-workshop.org

Twitter: https://twitter.com/AMIR_Workshop

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