Saikishore Kalloori

30 papers A* 2A 12Misc 3Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Emotion aware session based news recommender systems.
Decis. Support Syst.
Benjamin Gundersen, Saikishore Kalloori, Abhishek Srivastava
2024 — conf
Balancing Autonomy: Investigating User-Controlled vs Automated Guidance Systems for Sequential Tasks.
ISS Companion
Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer
2024 — conf
EB-NeRD a large-scale dataset for news recommendation.
RecSys Challenge
Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen
2024 J jnl
EB-NeRD: A Large-Scale Dataset for News Recommendation.
CoRR
Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen
2024 — conf
Federated Learning for Cold Start Recommendations.
COMAD/CODS
Saikishore Kalloori
2024 A conf
Improving German News Clustering with Contrastive Learning.
CIKM
Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd
2024 A conf
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations.
RecSys
Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen
2024 J jnl
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations.
CoRR
Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen
2024 — conf
Side-By-Side Might Win: Occlusion Negatively Affects The Performance Of Augmented Reality Task Instructions.
VR Workshops
Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer
2024 J jnl
Towards cross-silo federated learning for corporate organizations.
Knowl. Based Syst.
Saikishore Kalloori, Abhishek Srivastava
2024 A conf
Unified Argument Retrieval System from German News Articles Using Large Language Models.
CIKM
Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd
2023 A* conf
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals.
SIGIR
Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross
2023 — conf
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising.
RecSys Challenge
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori
2023 A conf
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy.
RecSys
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane
2022 Misc conf
Cross-silo federated learning based decision trees.
SAC
Saikishore Kalloori, Severin Klingler
2022 Misc conf
Fast Content Placement and Alignment in 3D Scenes.
FLAIRS
Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu
2022 A conf
Personalized Information Retrieval for Touristic Attractions in Augmented Reality.
WSDM
Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross
2022 A conf
RecSys Challenge 2022: Fashion Purchase Prediction.
RecSys
Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda
2021 A conf
A Practical Federated Learning Framework for Small Number of Stakeholders.
WSDM
Christian Schneebeli, Saikishore Kalloori, Severin Klingler
2021 A conf
Horizontal Cross-Silo Federated Recommender Systems.
RecSys
Saikishore Kalloori, Severin Klingler
2021 A conf
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline.
RecSys
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 — conf
The 2021 RecSys Challenge Dataset: Fairness is not optional.
RecSys Challenge
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 J jnl
The 2021 RecSys Challenge Dataset: Fairness is not optional.
CoRR
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
2020 Misc conf
Modeling User Preferences Using Relative Feedback for Personalized Recommendations.
FLAIRS
Saikishore Kalloori, Tianyu Li
2019 A* conf
Item Recommendation by Combining Relative and Absolute Feedback Data.
SIGIR
Saikishore Kalloori, Tianyu Li, Francesco Ricci
2018 A conf
Eliciting pairwise preferences in recommender systems.
RecSys
Saikishore Kalloori, Francesco Ricci, Rosella Gennari
2018 — conf
Integrating Ratings and Pairwise Preferences in Recommender Systems.
IIR
Saikishore Kalloori, Francesco Ricci
2017 A conf
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons.
UMAP
Saikishore Kalloori, Francesco Ricci
2017 — conf
Pairwise Preferences and Recommender Systems.
IUI Companion
Saikishore Kalloori
2016 A conf
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques.
RecSys
Saikishore Kalloori, Francesco Ricci, Marko Tkalcic