Context-Aware Information Retrieval Using Word Embeddings by UjwalGoli - AP22110010760

Описание: Have you ever searched for something online and received results that completely missed what you actually meant? That’s where context-aware information retrieval comes in.
In this video, I’ll explain how we can make search engines smarter by understanding the meaning and context behind queries, not just the words.

We’ll explore:
✅ What traditional query retrieval is and its limitations
✅ How Context-Aware Query Expansion solves those issues
✅ The role of Word Embeddings (Word2Vec & GloVe) in representing meaning
✅ Step-by-step walkthrough of the algorithm
✅ A numerical example demonstrating how scores are computed
✅ 2D vector space visualization of query, context, and candidate terms
✅ A live code execution showing query expansion in action

By the end, you’ll understand how context changes everything — turning ordinary keyword matching into intelligent semantic search.

🧠 Keywords:
Context Aware Search, Query Expansion, Information Retrieval, Word2Vec, GloVe, NLP, Machine Learning, AI Projects, Semantic Search, Text Mining

📌 Project: Context-Aware Information Retrieval Algorithm
👨‍💻 Developed by: Ujwal Goli
📅 Category: Machine Learning | NLP | Information Retrieval