Probabilistic topic models for sequence data

DOI10.1007/S10994-013-5391-2zbMath1293.68214OpenAlexW2013676140MaRDI QIDQ399896

Marco Carnuccio, Ettore Ritacco, Antonio Bevacqua, Giuseppe Manco, Nicola Barbieri

Publication date: 20 August 2014

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-013-5391-2

zbMATH Keywords

performancecollaborative filteringrecommender systemsprobabilistic topic models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35) Information storage and retrieval of data (68P20) Natural language processing (68T50) Computing methodologies for text processing; mathematical typography (68U15) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Uses Software

• PRMLT

Cites Work

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• 10.1162/jmlr.2003.3.4-5.993

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