Saikishore Kalloori

According to our database, Saikishore Kalloori authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards cross-silo federated learning for corporate organizations.

Saikishore Kalloori, Abhishek Srivastava

Knowl. Based Syst., 2024

Side-By-Side Might Win: Occlusion Negatively Affects The Performance Of Augmented Reality Task Instructions.

Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Balancing Autonomy: Investigating User-Controlled vs Automated Guidance Systems for Sequential Tasks.

Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer

Proceedings of the Companion Proceedings of the 2024 Conference on Interactive Surfaces and Spaces, 2024

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

Proceedings of the Recommender Systems Challenge 2024, 2024

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Federated Learning for Cold Start Recommendations.

Saikishore Kalloori

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Unified Argument Retrieval System from German News Articles Using Large Language Models.

Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Improving German News Clustering with Contrastive Learning.

Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising.

Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori

Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

2022

Personalized Information Retrieval for Touristic Attractions in Augmented Reality.

Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cross-silo federated learning based decision trees.

Saikishore Kalloori, Severin Klingler

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

RecSys Challenge 2022: Fashion Purchase Prediction.

Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Fast Content Placement and Alignment in 3D Scenes.

Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

A Practical Federated Learning Framework for Small Number of Stakeholders.

Christian Schneebeli, Saikishore Kalloori, Severin Klingler

Proceedings of the WSDM '21, 2021

Horizontal Cross-Silo Federated Recommender Systems.

Saikishore Kalloori, Severin Klingler

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

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

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Modeling User Preferences Using Relative Feedback for Personalized Recommendations.

Saikishore Kalloori, Tianyu Li

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

Item Recommendation by Combining Relative and Absolute Feedback Data.

Saikishore Kalloori, Tianyu Li, Francesco Ricci

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Eliciting pairwise preferences in recommender systems.

Saikishore Kalloori, Francesco Ricci, Rosella Gennari

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Integrating Ratings and Pairwise Preferences in Recommender Systems.

Saikishore Kalloori, Francesco Ricci

Proceedings of the 9th Italian Information Retrieval Workshop, 2018

2017

Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons.

Saikishore Kalloori, Francesco Ricci

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Pairwise Preferences and Recommender Systems.

Saikishore Kalloori

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

2016

Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques.

Saikishore Kalloori, Francesco Ricci, Marko Tkalcic

Proceedings of the 10th ACM Conference on Recommender Systems, 2016