Saikishore Kalloori

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Recommender Systems

Augmented Reality

Top Venues

RecSys Challenge

Publications

Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer
Side-By-Side Might Win: Occlusion Negatively Affects The Performance Of Augmented Reality Task Instructions. VR Workshops (2024)
Saikishore Kalloori, Abhishek Srivastava
Towards cross-silo federated learning for corporate organizations. Knowl. Based Syst. 289 (2024)
Saikishore Kalloori
Federated Learning for Cold Start Recommendations. COMAD/CODS (2024)
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. RecSys Challenge (2023)
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. RecSys (2023)
Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus H. Gross
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. SIGIR (2023)
Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda
RecSys Challenge 2022: Fashion Purchase Prediction. RecSys (2022)
Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu
Fast Content Placement and Alignment in 3D Scenes. FLAIRS (2022)
Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross
Personalized Information Retrieval for Touristic Attractions in Augmented Reality. WSDM (2022)
Saikishore Kalloori, Severin Klingler
Cross-silo federated learning based decision trees. SAC (2022)
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
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR (2021)
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
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys (2021)
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
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge (2021)
Christian Schneebeli, Saikishore Kalloori, Severin Klingler
A Practical Federated Learning Framework for Small Number of Stakeholders. WSDM (2021)
Saikishore Kalloori, Severin Klingler
Horizontal Cross-Silo Federated Recommender Systems. RecSys (2021)
Saikishore Kalloori, Tianyu Li
Modeling User Preferences Using Relative Feedback for Personalized Recommendations. FLAIRS Conference (2020)
Saikishore Kalloori, Tianyu Li, Francesco Ricci
Item Recommendation by Combining Relative and Absolute Feedback Data. SIGIR (2019)
Saikishore Kalloori, Francesco Ricci, Rosella Gennari
Eliciting pairwise preferences in recommender systems. RecSys (2018)
Saikishore Kalloori, Francesco Ricci
Integrating Ratings and Pairwise Preferences in Recommender Systems. IIR (2018)
Saikishore Kalloori
Pairwise Preferences and Recommender Systems. IUI Companion (2017)
Saikishore Kalloori, Francesco Ricci
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons. UMAP (2017)
Saikishore Kalloori, Francesco Ricci, Marko Tkalcic
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. RecSys (2016)