Kartik Hosanagar
University of Pennsylvania
H-index: 31
North America-United States
Top articles of Kartik Hosanagar
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models | arXiv preprint arXiv:2312.01261 | Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij Kartik Hosanagar | 2023/12/3 |
To brush or not to brush: Product rankings, consumer search, and fake orders | Information Systems Research | Chen Jin Luyi Yang Kartik Hosanagar | 2023/6 |
AI in Personalized Product Recommendations | Management and Business Review | Kartik Hosanagar Dokyun Lee | 2023 |
Designing fair AI in human resource management: Understanding tensions surrounding algorithmic evaluation and envisioning stakeholder-centered solutions | Hyanghee Park Daehwan Ahn Kartik Hosanagar Joonhwan Lee | 2022/4/27 | |
How to kickstart an AI venture without proprietary data: AI start-ups have a chicken and egg problem—here is how to solve it | Journal of AI, Robotics & Workplace Automation | Kartik Hosanagar Monisha Gulabani | 2021/1/1 |
How do product attributes and reviews moderate the impact of recommender systems through purchase stages? | Management Science | Dokyun Lee Kartik Hosanagar | 2021/1 |
Will we trust what we don't understand? Impact of model interpretability and outcome feedback on trust in AI | arXiv preprint arXiv:2111.08222 | Daehwan Ahn Abdullah Almaatouq Monisha Gulabani Kartik Hosanagar | 2021/11/16 |
Modeling Lengthy Behavioral Log Data for Customer Churn Management: A Representation Learning Approach | Available at SSRN 3969455 | Daehwan Ahn Dokyun Lee Kartik Hosanagar | 2021/9/1 |
Network Externalities and Cross-Platform App Development in Mobile Platforms | Available at SSRN | Amandeep Singh Kartik Hosanagar Aviv Nevo | 2021/8/26 |
Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens | Hyanghee Park Daehwan Ahn Kartik Hosanagar Joonhwan Lee | 2021/5/6 | |
An empirical meta-analysis of e-commerce a/b testing strategies | The Wharton School, University of Pennsylvania | Alex P Miller Kartik Hosanagar | 2020 |
Who do we blame for the filter bubble? On the roles of math, data, and people in algorithmic social systems | After the Digital Tornado: Networks, Algorithms, Humanity | Kartik Hosanagar Alex Miller | 2020 |
Interpretable deep learning approach to churn management | Available at SSRN 3981160 | Daehwan Ahn Dokyun Lee Kartik Hosanagar | 2020/9/1 |
Machine learning instrument variables for causal inference | Amandeep Singh Kartik Hosanagar Amit Gandhi | 2020/7/13 | |
Personalized discount targeting with causal machine learning | Alex Miller Kartik Hosanagar | 2020 |
Co-Authors
