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 search with embeddings and 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'll start with basic keyword techniques, TF-IDF, and BM25, then move on to semantic search using embeddings, approximate nearest neighbours, and efficient indexing. You'll learn to examine datasets, understand user needs, create evaluation queries, assess relevance, measure precision at 5, and implement improvements through monitoring, A/B testing, and introductory learning-to-rank methods.
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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