Information Retrieval Course
4.3/5
This course equips you with essential techniques for modern information retrieval in tech applications. Delve into keyword-based methods such as TF-IDF and BM25, alongside advanced semantic search using embeddings, ANN indexing, and comprehensive relevance evaluation. Design scalable search solutions that accurately interpret user intent and perform reliably on large-scale real-world datasets, ensuring high precision and user satisfaction.
4.3 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in building effective search systems. Start with keyword techniques like TF-IDF and BM25, then progress to semantic methods using embeddings, approximate nearest neighbours, and efficient indexing. Master dataset analysis, user intent modelling, test query creation, relevance labelling, precision@5 evaluation, and strategies for improvement via monitoring, A/B testing, and basic learning-to-rank.
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 by examining tags, content, and quality metrics to improve recall.
- Model user search intent by developing realistic queries linked to relevant resources.
- Evaluate search performance through A/B tests, relevance labelling, and precision@5 metrics.
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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