Mohit Kumar · PaperMetrix

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

2016

Review fraud is a pervasive problem in online commerce, in which fraudulent sellers write or purchase fake reviews to manipulate perception of their products and services. Fake reviews are often detected based on several signs, …

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 …

ARPS: An Autonomic Resource Provisioning and Scheduling Framework for Cloud Platforms

2021 · IEEE Transactions on Sustainable Computing

With Cloud computing becoming mainstream for the execution of various applications, the multi-objective scheduling algorithms for providing the most suitable services to users have gained much attention. As provisioning Cloud services that satisfy end-users quality …

Break Down Resumes into Sections to Extract Data and Perform Text Analysis using Python

2023 · International Journal on Recent and Innovation Trends in Computing and Communication

The objective of AI-based resume screening is to automate the screening process, and text, keyword, and named entity recognition extraction are critical. This paper discusses segmenting resumes in order to extract data and perform text …

Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset

2024

We perform a comparative analysis of transformer-based models designed for modeling tabular data, specifically on an industry-scale dataset. While earlier studies demonstrated promising outcomes on smaller public or synthetic datasets, the effectiveness did not extend …

StudentEase: An AI-Powered College Helpdesk Chatbot

2025 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT