DagRep.7.10.139.pdf
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Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP (Dagstuhl Perspectives Workshop 17442)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 7, Issue 10
Volume: Dagstuhl Reports, Volume 7
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-03-27
Cite AsGet BibTex
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, and Joseph A. Konstan. Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP (Dagstuhl Perspectives Workshop 17442). In Dagstuhl Reports, Volume 7, Issue 10, pp. 139-146, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/DagRep.7.10.139
https://doi.org/10.4230/DagRep.7.10.139
Abstract
This reports briefly describes the organization and the plenary talks given during the Dagstuhl Perspectives Workshop 17442. The goal of this workshop was to investigate the state-of-the-art and to delineate a roadmap and research challenges for performance modeling and prediction in three neighbour domains, namely information retrieval (IR), recommender systems (RecSys), and natural language processing (NLP).
Keywords
- Information Systems
- Formal models
- Evaluation
- Simulation
- User Interaction
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