Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques

Wael Alkhatib, Eid Araache, Christoph Rensing, Steffen Schnitzer. Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques. In Viktoria Pammer-Schindler, Mar Pérez-Sanagustín, Hendrik Drachsler, Raymond Elferink, Maren Scheffel, editors, Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings. Volume 11082 of Lecture Notes in Computer Science, pages 609-612, Springer, 2018. [doi]

@inproceedings{AlkhatibARS18,
  title = {Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques},
  author = {Wael Alkhatib and Eid Araache and Christoph Rensing and Steffen Schnitzer},
  year = {2018},
  doi = {10.1007/978-3-319-98572-5_56},
  url = {https://doi.org/10.1007/978-3-319-98572-5_56},
  researchr = {https://researchr.org/publication/AlkhatibARS18},
  cites = {0},
  citedby = {0},
  pages = {609-612},
  booktitle = {Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings},
  editor = {Viktoria Pammer-Schindler and Mar Pérez-Sanagustín and Hendrik Drachsler and Raymond Elferink and Maren Scheffel},
  volume = {11082},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-98572-5},
}