2018
Journal article  Open Access

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)

Ferro N., Fuhr N., Grefenstette G., Konstan J. A., Castells P., Daly E. M., Declerck T., Ekstrand M. D., Geyer W., Gonzalo J., Kuflik T., Lind'En K., Magnini B., Nie J. Y., Perego R., Shapira B., Soboroff I., Tintarev N., Verspoor K., Willemsen M. C., Zobel J.

Evaluation  Simulation  User interaction  Computer Science  Information Systems  Formal models  general works  000 Computer science  knowledge 

We describe the state-of-the-art in performance modeling and prediction for Information Retrieval (IR), Natural Language Processing (NLP) and Recommender Systems (RecSys) along with its shortcomings and strengths. We present a framework for further research, identifying five major problem areas: understanding measures, performance analysis, making underlying assumptions explicit, identifying application features determining performance, and the development of predic- tion models describing the relationship between assumptions, features and resulting performance

Source: Dagstuhl manifestos 7 (2018): 96–139. doi:10.4230/DagMan.7.1.96

Publisher: Schloss Dagstuhl, Leibniz-Zentrum für Informatik GmbH, Wadern , Germania


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BibTeX entry
@article{oai:it.cnr:prodotti:416340,
	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 = {Ferro N. and Fuhr N. and Grefenstette G. and Konstan J. A. and Castells P. and Daly E. M. and Declerck T. and Ekstrand M. D. and Geyer W. and Gonzalo J. and Kuflik T. and Lind'En K. and Magnini B. and Nie J. Y. and Perego R. and Shapira B. and Soboroff I. and Tintarev N. and Verspoor K. and Willemsen M. C. and Zobel J.},
	publisher = {Schloss Dagstuhl, Leibniz-Zentrum für Informatik GmbH, Wadern , Germania},
	doi = {10.4230/dagman.7.1.96},
	journal = {Dagstuhl manifestos},
	volume = {7},
	pages = {96–139},
	year = {2018}
}