Saikishore Kalloori
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
9
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CIKM | Improving German News Clustering with Contrastive Learning. | Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Znd |
| 2024 | CIKM | Unified Argument Retrieval System from German News Articles Using Large Language Models. | Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Znd |
| 2024 | COMAD | Federated Learning for Cold Start Recommendations. | Saikishore Kalloori |
| 2024 | RecSys | RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | RecSys | EB-NeRD a large-scale dataset for news recommendation. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | VR | Side-By-Side Might Win: Occlusion Negatively Affects The Performance Of Augmented Reality Task Instructions. | Robin Wiethchter, Saikishore Kalloori, David Lindlbauer |
| 2023 | RecSys | RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. | Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori |
| 2023 | RecSys | RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. | Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane |
| 2023 | SIGIR | A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. | Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross |
| 2022 | FlAIRS | Fast Content Placement and Alignment in 3D Scenes. | Robin Wiethchter, Saikishore Kalloori, Ribin Chalumattu |
| 2022 | RecSys | RecSys Challenge 2022: Fashion Purchase Prediction. | Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda |
| 2022 | SAC | Cross-silo federated learning based decision trees. | Saikishore Kalloori, Severin Klingler |
| 2022 | WSDM | Personalized Information Retrieval for Touristic Attractions in Augmented Reality. | Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross |
| 2021 | RecSys | RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. | Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi |
| 2021 | RecSys | The 2021 RecSys Challenge Dataset: Fairness is not optional. | Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi |
| 2021 | RecSys | Horizontal Cross-Silo Federated Recommender Systems. | Saikishore Kalloori, Severin Klingler |
| 2021 | WSDM | A Practical Federated Learning Framework for Small Number of Stakeholders. | Christian Schneebeli, Saikishore Kalloori, Severin Klingler |
| 2020 | FlAIRS | Modeling User Preferences Using Relative Feedback for Personalized Recommendations. | Saikishore Kalloori, Tianyu Li |
| 2019 | SIGIR | Item Recommendation by Combining Relative and Absolute Feedback Data. | Saikishore Kalloori, Tianyu Li, Francesco Ricci |
| 2018 | RecSys | Eliciting pairwise preferences in recommender systems. | Saikishore Kalloori, Francesco Ricci, Rosella Gennari |
| 2017 | IUI | Pairwise Preferences and Recommender Systems. | Saikishore Kalloori |
| 2016 | RecSys | Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. | Saikishore Kalloori, Francesco Ricci, Marko Tkalcic |