An empirical assessment of best-answer prediction models in technical Q&A sites
Crossref DOI link: https://doi.org/10.1007/s10664-018-9642-5
Published Online: 2018-08-07
Published Print: 2019-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Calefato, Fabio http://orcid.org/0000-0003-2654-1588
Lanubile, Filippo
Novielli, Nicole
Funding for this research was provided by:
Scientific Independence of young Researchers (EmoQuest)
Text and Data Mining valid from 2018-08-07
Article History
First Online: 7 August 2018