Chris Deotte
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | KDD | Boost the Performance of Tabular Data Models with GPU Accelerated Feature Engineering. | Chris Deotte, Ronay Ak |
| 2023 | RecSys | Investigating the effects of incremental training on neural ranking models. | Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green |
| 2021 | RecSys | GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems. | Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz |
| 2021 | WSDM | Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. | Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak |
| 2020 | RecSys | Tutorial: Feature Engineering for Recommender Systems. | Benedikt Schifferer, Chris Deotte, Even Oldridge |
| 2020 | RecSys | GPU Accelerated Feature Engineering and Training for Recommender Systems. | Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem |