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🔍 Information Retrieval

Search Engines • Indexing • Ranking • Query Processing • Evaluation • Web Search • NLP

Master the art of finding information — from indexing and ranking algorithms to search engine architecture, relevance evaluation, and modern IR systems.

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Information Retrieval Concepts & Technologies

IR Basics

Information retrieval, search, document collection.

Boolean Retrieval

AND, OR, NOT operators, term-document matrix.

IR System Architecture

Components, pipeline, index, query engine.

Inverted Index

Dictionary, postings, term frequency, compression.

Tokenization & Stemming

Stop words, Porter stemmer, lemmatization.

Index Compression

Gamma coding, delta coding, dictionary compression.

Positional Indexes

Phrase queries, proximity, position information.

Distributed Indexing

Sharding, replication, map-reduce indexing.

TF-IDF

Term frequency, inverse document frequency, vector space.

Vector Space Model

Cosine similarity, document vectors, term weighting.

BM25 Ranking

Probabilistic IR, saturation, term frequency.

Language Models for IR

Statistical LM, smoothing, query likelihood.

Learning to Rank

Pointwise, pairwise, listwise approaches.

Query Processing

Parsing, scoring, optimization, execution.

Query Expansion

Relevance feedback, pseudo-relevance, synonyms.

Query Understanding

Intent recognition, entity resolution, spelling correction.

IR Evaluation

Precision, recall, F1, MAP, NDCG.

Test Collections

Cranfield, TREC, relevance judgments.

User Studies in IR

Information behavior, user satisfaction, click models.

Web Search Basics

Crawling, indexing, query serving.

PageRank Algorithm

Link analysis, eigenvector, random surfer.

HITS Algorithm

Hubs, authorities, mutual reinforcement.

Web Crawling

Politeness, frontier, incremental crawling.

Elasticsearch

Distributed search, Lucene, aggregations.

Apache Solr

Search platform, faceting, highlighting.

Apache Lucene

Indexing library, scoring, analyzers.

Recommender Systems

Collaborative filtering, content-based, hybrid.

Question Answering

Factoid, IR-based, reading comprehension.

Conversational Search

Dialogue, multi-turn, clarification.

NLP for IR

Named entities, sentiment, semantic matching.

Word Embeddings

Word2Vec, GloVe, embeddings in IR.

Semantic Search

BERT, dense retrieval, vector search.

Neural IR

Transformer-based, learning to rank, BERT.

Multimedia IR

Image, video, audio retrieval, CLIP.

Image Retrieval

CBIR, visual features, deep features.

IR Theory

Probability ranking principle, decision theory.

Causality in IR

Causal inference, A/B testing, experiments.

Information Extraction

NER, relation extraction, event extraction.

Search Relevance

Relevance tuning, feedback, metrics.

Search Personalization

User profiles, context, adaptation.

Personalization

🔍 Information Retrieval Mastery Roadmap

🔰 Foundation

IR basics, Boolean retrieval, inverted index

📶 Core

TF-IDF, BM25, vector space, query processing

🔥 Deep Dive

Learning to rank, semantic search, PageRank, neural IR

🏆 Frontier

Conversational search, causal IR, advanced theory

🔍 Find What Matters — Master Information Retrieval

Hands-on search implementations, ranking challenges, and real-world IR systems.

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