Frequently Asked Questions
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Search Method
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★ Proposed
CWS-TFIDF
Contextual Weighted Semantic TF-IDF with domain boost. Thesis contribution.
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Baseline
TF-IDF
Classic sparse term frequency-inverse document frequency retrieval.
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Baseline
Word2Vec
Dense word embedding averages with cosine similarity matching.
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Neural
DistilBERT
Lightweight BERT-based n-gram similarity for semantic retrieval.
✓
Neural · 2024
all-MiniLM-L6-v2
Compact 22M param sentence transformer. Fast dense retrieval, 2024 SOTA.
✓
Sparse · 2024
SPLADE-V3
Sparse learned representation via BERT expansion. 2024 top sparse model.
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