AI / Search Engines
Information Retrieval System
2024Case study
Stack
- Python
- NLTK
- TF-IDF
- Cosine Similarity
- Inverted Index
- Information Retrieval
Classical information-retrieval engine built from the ground up. It implements tokenisation, inverted-index construction, TF-IDF weighting and cosine-similarity ranking to enable efficient query-time search over a document corpus. The project exposes the mechanics behind every modern search engine before the neural era.
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