POSIT: Promotion of Semantic Item Tail via Adversarial Learning Q Xu, P Shivaswamy, X Zhang arXiv preprint arXiv:2308.03366, 2023 | | 2023 |
ExCalibR: Expected Calibration of Recommendations P Shivaswamy https://arxiv.org/abs/2304.12311, 2023 | | 2023 |
Adversary or friend? an adversarial approach to improving recommender systems P Shivaswamy, D Garcia-Garcia Proceedings of the 16th ACM Conference on Recommender Systems, 369-377, 2022 | 5 | 2022 |
Bias-variance decomposition for ranking P Shivaswamy, A Chandrashekar Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 3 | 2021 |
First pass ranker calibration for news feed ranking PK Shivaswamy, NI Lytkin, Y Li, G Lebanon US Patent 10,552,428, 2020 | 5 | 2020 |
Modulating feed composition to improve long-term engagement with content feeds PK Shivaswamy, S Chatterjee US Patent 10,356,168, 2019 | 1 | 2019 |
Increasing content circulation in a social networking service PK Shivaswamy US Patent 10,353,971, 2019 | 1 | 2019 |
Verifying effects of feed composition on long-term engagement with content feeds PK Shivaswamy, S Chatterjee US Patent 10,261,955, 2019 | | 2019 |
Personalized cross session diversity B Chen, PK Shivaswamy, Q He US Patent 9,894,028, 2018 | 20 | 2018 |
Generating viewer affinity score in an on-line social network L Tang, PK Shivaswamy, NI Lytkin US Patent App. 15/212,498, 2018 | 1 | 2018 |
High accuracy learning by boosting weak learners T Jebara, P Shivaswamy US Patent 9,607,246, 2017 | 9 | 2017 |
Personalizing linkedin feed D Agarwal, BC Chen, Q He, Z Hua, G Lebanon, Y Ma, P Shivaswamy, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 59 | 2015 |
Coactive learning P Shivaswamy, T Joachims Journal of Artificial Intelligence Research 53, 1-40, 2015 | 79 | 2015 |
Activity ranking in LinkedIn feed D Agarwal, BC Chen, R Gupta, J Hartman, Q He, A Iyer, S Kolar, Y Ma, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 62 | 2014 |
Stable coactive learning via perturbation K Raman, T Joachims, P Shivaswamy, T Schnabel International conference on machine learning, 837-845, 2013 | 27 | 2013 |
Temporal corpus summarization using submodular word coverage R Sipos, A Swaminathan, P Shivaswamy, T Joachims Proceedings of the 21st ACM international conference on Information and …, 2012 | 90 | 2012 |
Online learning to diversify from implicit feedback K Raman, P Shivaswamy, T Joachims Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 77 | 2012 |
Online structured prediction via coactive learning P Shivaswamy, T Joachims arXiv preprint arXiv:1205.4213, 2012 | 76 | 2012 |
Large-margin learning of submodular summarization models R Sipos, P Shivaswamy, T Joachims Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 76 | 2012 |
Multi-armed bandit problems with history P Shivaswamy, T Joachims Artificial Intelligence and Statistics, 1046-1054, 2012 | 57 | 2012 |