information Retrieval Course
This course equips you with essential skills to develop modern search engines for tech applications. Delve into keyword-based methods such as TF-IDF and BM25, alongside advanced semantic retrieval using embeddings and ANN. Master relevance evaluation, user intent modelling, A/B testing, and scalable indexing to create precise, user-focused search experiences that handle real-world datasets effectively.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills in building effective search systems. Master keyword techniques like TF-IDF and BM25, then progress to semantic search using embeddings, ANN indexing, and scalable methods. Learn to analyse datasets, understand user intent, create test queries, label relevance, measure precision@5, and implement improvements via monitoring, A/B testing, and learning-to-rank fundamentals.
Elevify advantages
Develop skills
- Build semantic search systems with embedding indexes for quick and accurate results.
- Implement and fine-tune TF-IDF and BM25 models to boost search ranking precision.
- Analyse search datasets including tags, content, and quality metrics to improve recall.
- Model user search intent by designing realistic queries and linking to relevant content.
- Evaluate search performance through A/B tests, relevance labelling, and precision@5 metrics.
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