Srijan Kumar

FairJudge: Trustworthy User Prediction in Rating Platforms

2017 · arXiv (Cornell University)

Rating platforms enable large-scale collection of user opinion about items (products, other users, etc.). However, many untrustworthy users give fraudulent ratings for excessive monetary gains. In the paper, we present FairJudge, a system to identify …

High to low temperature: $O(N)$ model at large $N$

2025 · arXiv (Cornell University)

We study the $O(N)$ vector model for scalars with quartic interaction at large $N$ on $S^1\times S^2$ without the singlet constraint. The non-trivial fixed point of the model is described by a thermal mass satisfying …

ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model

2025 · arXiv (Cornell University)

Detecting bad actors is critical to ensure the safety and integrity of internet platforms. Several deep learning-based models have been developed to identify such users. These models should not only accurately detect bad actors, but …

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

2019

Modeling sequential interactions between users and items/products is crucial in domains such as e-commerce, social networking, and education. Representation learning presents an attractive opportunity to model the dynamic evolution of users and items, where each …