information Retrieval Course
This course offers a practical introduction to building effective search systems, covering keyword-based methods like TF-IDF and BM25, semantic search with embeddings and ANN indexing, data analysis, user intent modeling, and evaluation techniques including precision@5, A/B testing, and learning-to-rank.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, hands-on way to create top-notch search systems. You will cover basic keyword approaches, TF-IDF, and BM25, then move on to semantic search using embeddings, ANN, and efficient indexing. Learn to examine datasets, understand user needs, create test searches, mark relevant results, measure precision@5, and make real enhancements through tracking, A/B testing, and basic learning-to-rank techniques.
Elevify advantages
Develop skills
- Build semantic search: design embedding indexes for quick, relevant outcomes.
- Implement TF-IDF and BM25: adjust ranking models for better search accuracy.
- Analyze search data: examine tags, content areas, and quality to improve recall.
- Model user intent: create realistic searches and link them to appropriate resources.
- Evaluate search quality: conduct A/B tests, label relevance, and compare precision@5.
Suggested summary
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