Information Retrieval Course
4.3/5
This course offers a practical introduction to building effective search systems, covering keyword-based methods like TF-IDF and BM25, semantic retrieval with embeddings and ANN indexing, data analysis, user intent modeling, and evaluation techniques including precision@5, A/B testing, and learning-to-rank.
4.3 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, hands-on way to create effective search systems. You will study basic keyword approaches, TF-IDF, and BM25, then move on to meaning-based retrieval using embeddings, ANN, and efficient indexing. Learn to examine datasets, understand user needs, create evaluation queries, assess relevance, measure precision@5, and implement real enhancements through tracking, A/B testing, and introductory learning-to-rank techniques.
Elevify advantages
Develop skills
- Build semantic search: design embedding indexes for fast, relevant results.
- Implement TF-IDF and BM25: tune ranking models for higher search precision.
- Analyze search data: explore tags, content fields, and quality to refine recall.
- Model user intent: craft realistic queries and map them to the right resources.
- Evaluate search quality: run A/B tests, label relevance, and compare precision@5.
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
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
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