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 and A/B testing.
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 top-notch search systems. You'll start with basic keyword techniques, TF-IDF, and BM25, then move on to semantic search using embeddings, ANN, and efficient indexing. You'll learn to examine datasets, understand user needs, create test searches, mark what's relevant, measure precision@5, and make real enhancements through tracking, A/B testing, and introductory learning-to-rank methods.
Elevify advantages
Develop skills
- Build semantic search: create embedding indexes for quick and accurate results.
- Implement TF-IDF and BM25: adjust ranking models to boost search accuracy.
- Analyze search data: review tags, content areas, and quality to improve recall.
- Model user intent: develop practical queries and link them to suitable resources.
- Evaluate search quality: conduct A/B tests, label relevance, and assess precision@5.
Suggested summary
Before starting, you can change the chapters and 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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