Design and Implementation of Quora Question Pair Similarity

Abstract

The “Design and Implementation of Quora Question Pair Similarity” project endeavors to address the challenge of identifying duplicate questions on the Quora platform to enhance user experience and content quality. Duplicate questions, when unanswered, can lead to redundancy and clutter, hindering effective knowledge sharing. Leveraging advanced natural language processing (NLP) techniques, our project focuses on developing a robust similarity model capable of accurately determining the semantic similarity between pair questions. By employing state-of-the-art machine learning algorithms and deep neural networks, we aim to create a system that not only identifies duplicate questions but also provides insights into the underlying linguistic structures and contexts. Through rigorous experimentation and evaluation, we strive to achieve high precision and recall rates, ensuring reliable duplicate detection while minimizing false positives. The outcomes of this project hold significant implications for online community platforms, facilitating smoother navigation, improved search functionality, and ultimately, a more enriching user experience