Information Retrieval
ECS736UP · Queen Mary University of London
Search engines and retrieval: Boolean retrieval, TF-IDF, BM25, vector space models, language models, and evaluation metrics.
TF-IDFBM25Vector SpaceLanguage ModelsSearch EnginesRAG
Overview
How search engines find relevant documents. Covers indexing, ranking algorithms, query processing, relevance feedback, and evaluation. Directly relevant to RAG pipelines and semantic search in AI applications.
Content & Resources
LEC
Boolean & VSM Retrieval
Boolean queries, TF-IDF, vector space model
LEC
BM25 & Language Models
Probabilistic retrieval and language modeling
PRJ
Coursework: Search Engine
Building a search engine from scratch