Using Dynamic Multi-Task Non-Negative Matrix Factorization to Detect the Evolution of User Preferences in Collaborative Filtering

Authors

Keywords

Mass media, Algorithms, Dynamical systems, Hidden Markov models, Learning, Semantics, Convergent evolution, Parallel evolution

Journal

Volume 10, Issue 8, Pages e0135090

Publisher

Public Library of Science (PLoS)

Online

2015-08-14

DOI

10.1371/journal.pone.0135090

References

View 4 related references

Contact the author

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started