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ORCIDSaikishore Kalloori
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2020 – today
- 2024
[j1]Saikishore Kalloori
, Abhishek Srivastava:
Towards cross-silo federated learning for corporate organizations. Knowl. Based Syst. 289: 111501 (2024)- [c25]Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd:
Improving German News Clustering with Contrastive Learning. CIKM 2024: 3979-3983 - [c24]Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Zünd:
Unified Argument Retrieval System from German News Articles Using Large Language Models. CIKM 2024: 5265-5269 - [c23]Saikishore Kalloori:
Federated Learning for Cold Start Recommendations. COMAD/CODS 2024: 599-600 - [c22]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
EB-NeRD a large-scale dataset for news recommendation. RecSys Challenge 2024: 1-11 - [c21]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. RecSys 2024: 1195-1199 - [c20]Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer:
Balancing Autonomy: Investigating User-Controlled vs Automated Guidance Systems for Sequential Tasks. ISS Companion 2024: 73-78 - [c19]Robin Wiethüchter, Saikishore Kalloori, David Lindlbauer:
Side-By-Side Might Win: Occlusion Negatively Affects The Performance Of Augmented Reality Task Instructions. VR Workshops 2024: 913-914 - [i3]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. CoRR abs/2409.20483 (2024) - [i2]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
EB-NeRD: A Large-Scale Dataset for News Recommendation. CoRR abs/2410.03432 (2024) - 2023
- [c18]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: 1-3 - [c17]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: 1217-1220 - [c16]Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross:
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. SIGIR 2023: 3180-3184 - 2022
- [c15]Robin Wiethüchter, Saikishore Kalloori, Ribin Chalumattu:
Fast Content Placement and Alignment in 3D Scenes. FLAIRS 2022 - [c14]Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda:
RecSys Challenge 2022: Fashion Purchase Prediction. RecSys 2022: 694-697 - [c13]Saikishore Kalloori, Severin Klingler:
Cross-silo federated learning based decision trees. SAC 2022: 1117-1124 - [c12]Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross:
Personalized Information Retrieval for Touristic Attractions in Augmented Reality. WSDM 2022: 1613-1616 - 2021
- [c11]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: 1-6 - [c10]Saikishore Kalloori, Severin Klingler:
Horizontal Cross-Silo Federated Recommender Systems. RecSys 2021: 680-684 - [c9]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: 819-824 - [c8]Christian Schneebeli, Saikishore Kalloori, Severin Klingler:
A Practical Federated Learning Framework for Small Number of Stakeholders. WSDM 2021: 910-913 - [i1]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 abs/2109.08245 (2021) - 2020
- [c7]Saikishore Kalloori, Tianyu Li:
Modeling User Preferences Using Relative Feedback for Personalized Recommendations. FLAIRS 2020: 495-498
2010 – 2019
- 2019
- [c6]Saikishore Kalloori, Tianyu Li, Francesco Ricci:
Item Recommendation by Combining Relative and Absolute Feedback Data. SIGIR 2019: 933-936 - 2018
- [c5]Saikishore Kalloori, Francesco Ricci:
Integrating Ratings and Pairwise Preferences in Recommender Systems. IIR 2018 - [c4]Saikishore Kalloori, Francesco Ricci, Rosella Gennari:
Eliciting pairwise preferences in recommender systems. RecSys 2018: 329-337 - 2017
- [c3]Saikishore Kalloori:
Pairwise Preferences and Recommender Systems. IUI Companion 2017: 169-172 - [c2]Saikishore Kalloori, Francesco Ricci:
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons. UMAP 2017: 289-293 - 2016
- [c1]Saikishore Kalloori, Francesco Ricci, Marko Tkalcic:
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. RecSys 2016: 143-146
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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