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.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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Giulio CarloDigital Marketing Student
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