AL-503 (A) RGPV B.Tech
Information Retrieval (IR)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
2 papers, latest Dec 2024
Syllabus, notes and important questions for AL-503 (A)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction 9 topics
- History of IR
- Components of IR
- Issues in IR
- Open‑source search‑engine frameworks
- Impact of the Web on IR
- Role of artificial intelligence (AI) in IR
- IR versus Web search
- Components of a search engine
- Characterizing the Web
Unit 2 Boolean and Vector Space Retrieval Models 11 topics
- Boolean and vector‑space retrieval models
- Term weighting
- TF‑IDF weighting
- Cosine similarity
- Pre‑processing
- Inverted indices
- Efficient processing with sparse vectors
- Language‑model based IR
- Probabilistic IR
- Latent semantic indexing (LSI)
- Relevance feedback and query expansion
Unit 3 Web Search Overview 10 topics
- Web search overview
- Web structure and user‑paid placement search‑engine optimization
- Web‑search architectures
- Crawling
- Meta‑crawlers
- Focused crawling
- Web indexes
- Near‑duplicate detection
- Index compression
- XML retrieval
Unit 4 Link Analysis 13 topics
- Link analysis
- Hubs and authorities
- PageRank and HITS algorithms
- Searching and ranking
- Relevance scoring and ranking for the Web
- Similarity measures
- Hadoop & MapReduce evaluation
- Personalized search
- Collaborative filtering and content‑based recommendation of documents and products
- Handling the invisible Web
- Snippet generation and summarization
- Question answering
- Cross‑lingual retrieval
Unit 5 Information Filtering 5 topics
- Information filtering: organization and relevance feedback
- Text mining
- Text classification and clustering
- Categorization algorithms: naive Bayes, decision trees, nearest‑neighbor
- Clustering algorithms: agglomerative clustering, k‑means, expectation‑maximization (EM)