Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP (Dagstuhl Perspectives Workshop 17442)

Authors Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan and all authors of the abstracts in this report



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Author Details

Nicola Ferro
Norbert Fuhr
Gregory Grefenstette
Joseph A. Konstan
and all authors of the abstracts in this report

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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

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).

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Keywords
  • Information Systems
  • Formal models
  • Evaluation
  • Simulation
  • User Interaction

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