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

Overview of attention for article published in Dagstuhl Manifestos, January 2018
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8 tweeters

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Title
From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)
Published in
Dagstuhl Manifestos, January 2018
DOI 10.4230/dagman.7.1.96
URN
urn:nbn:de:0030-drops-98987
Authors

Ferro, Nicola, Fuhr, Norbert, Grefenstette, Gregory, Konstan, Joseph A., Castells, Pablo, Daly, Elizabeth M., Declerck, Thierry, Ekstrand, Michael D., Geyer, Werner, Gonzalo, Julio, Kuflik, Tsvi, Lind, Magnini, Bernardo, Nie, Jian-Yun, Perego, Raffaele, Shapira, Bracha, Soboroff, Ian, Tintarev, Nava, Verspoor, Karin, Willemsen, Martijn C., Zobel, Justin

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unspecified 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Computer Science 1 50%