• Attempt any five questions.
• All questions carry equal marks.
Explain the Information retrieval process with key components.
Discuss the role of Artificial Intelligence (AI) in IR.
Contrast Traditional IR systems with web search.
Write short notes on the probabilistic relevance feedback.
Briefly explain the Document Preprocessing procedure.
Explain latent semantic indexing with an example.
State the advantages and needs of a crawler.
Explain the Benefits of index compression with an example.
Describe the requirements of the XML information retrieval system.
Analyze the effectiveness of a MapReduce and Hadoop implementation.
Explain in detail the Content-based recommendation system.
Describe the retrieval procedure using the ranking and relative score.
Explain the process of choosing K in Nearest neighbor clustering.
Discuss in detail the Naive Bayesian classification and its limitation.
Snippet Generation
Agglomerative Clustering
Focused Crawling
TF-IDF term weighting
