Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.

@inproceedings{landin-2020-novel, author = {Alfonso Landin and Javier Parapar and \'{A}lvaro Barreiro}, editor = {Joemon M. Jose and Emine Yilmaz and Jo\~{a}o Magalh\~{a}es and Pablo Castells and Nicola Ferro and M\'{a}rio J. Silva and Fl\'{a}vio Martins}, title = {{Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings}}, booktitle = {{Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {12036}, pages = {215--222}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-45442-5_27}, doi = {https://doi.org/10.1007/978-3-030-45442-5_27} }