Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego 0001, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). Dagstuhl Manifestos, 7(1):96-139, 2018. [doi]
@article{FerroFGKCDDEGGK18,
title = {From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)},
author = {Nicola Ferro and Norbert Fuhr and Gregory Grefenstette and Joseph A. Konstan and Pablo Castells and Elizabeth M. Daly and Thierry Declerck and Michael D. Ekstrand and Werner Geyer and Julio Gonzalo and Tsvi Kuflik and Krister Lindén and Bernardo Magnini and Jian-Yun Nie and Raffaele Perego 0001 and Bracha Shapira and Ian Soboroff and Nava Tintarev and Karin Verspoor and Martijn C. Willemsen and Justin Zobel},
year = {2018},
doi = {10.4230/DagMan.7.1.96},
url = {https://doi.org/10.4230/DagMan.7.1.96},
researchr = {https://researchr.org/publication/FerroFGKCDDEGGK18},
cites = {0},
citedby = {0},
journal = {Dagstuhl Manifestos},
volume = {7},
number = {1},
pages = {96-139},
}