%0 Conference Paper %1 conf/recsys/PatinoVMGVA20 %A Patiño, Carlos Miguel %A Velásquez, Camilo %A Muñoz, Juan Manuel %A Gutiérrez, Juan Manuel %A Valencia, David Ricardo %A Aramburu, Cristian Bartolome %B RecSys Challenge %D 2020 %I ACM %K dblp %P 11-15 %T Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems. %U http://dblp.uni-trier.de/db/conf/recsys/challenge2020.html#PatinoVMGVA20 %@ 978-1-4503-8835-1

@inproceedings{conf/recsys/PatinoVMGVA20, added-at = {2021-12-15T00:00:00.000+0100}, author = {Patiño, Carlos Miguel and Velásquez, Camilo and Muñoz, Juan Manuel and Gutiérrez, Juan Manuel and Valencia, David Ricardo and Aramburu, Cristian Bartolome}, biburl = {https://www.bibsonomy.org/bibtex/23c1cdac1ccc1531a080d2f8e1a2ac94e/dblp}, booktitle = {RecSys Challenge}, crossref = {conf/recsys/2020challenge}, ee = {https://doi.org/10.1145/3415959.3415995}, interhash = {fb0b2c66fe81773da6eb20f2b16ac8d3}, intrahash = {3c1cdac1ccc1531a080d2f8e1a2ac94e}, isbn = {978-1-4503-8835-1}, keywords = {dblp}, pages = {11-15}, publisher = {ACM}, timestamp = {2024-04-10T11:43:48.000+0200}, title = {Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems.}, url = {http://dblp.uni-trier.de/db/conf/recsys/challenge2020.html#PatinoVMGVA20}, year = 2020 }