SVD-LDA: Topic Modeling for Full-Text Recommender Systems

Sergey I. Nikolenko. SVD-LDA: Topic Modeling for Full-Text Recommender Systems. In Obdulia Pichardo-Lagunas, Oscar Herrera-Alcántara, Gustavo Arroyo-Figueroa, editors, Advances in Artificial Intelligence and Its Applications - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015. Proceedings, Part II. Volume 9414 of Lecture Notes in Computer Science, pages 67-79, Springer, 2015. [doi]

@inproceedings{Nikolenko15,
  title = {SVD-LDA: Topic Modeling for Full-Text Recommender Systems},
  author = {Sergey I. Nikolenko},
  year = {2015},
  doi = {10.1007/978-3-319-27101-9_5},
  url = {http://dx.doi.org/10.1007/978-3-319-27101-9_5},
  researchr = {https://researchr.org/publication/Nikolenko15},
  cites = {0},
  citedby = {0},
  pages = {67-79},
  booktitle = {Advances in Artificial Intelligence and Its Applications - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015. Proceedings, Part II},
  editor = {Obdulia Pichardo-Lagunas and Oscar Herrera-Alcántara and Gustavo Arroyo-Figueroa},
  volume = {9414},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-27100-2},
}