JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV INFORMATION RETRIEVAL SYSTEMS Previous Question Paper (November/December - 2018 - R15)
Note: This question paper contains two parts A and B. Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.
Part A
Write a short note on inference networks.
Answer
An inference network is a probabilistic model for information retrieval that represents the relationship between documents and queries as a directed acyclic graph. It calculates the probability that a document satisfies a user's information need by propagating evidence through layers of nodes, typically consisting of document nodes, index term nodes, and query nodes.
Explain briefly Boolean Indexing retrieval strategy.
Answer
The Boolean Indexing retrieval strategy uses Boolean logic (AND, OR, NOT) to combine search terms. It treats documents as sets of terms, returning only those that strictly satisfy the logical conditions specified in the query. It is a binary retrieval model where a document is either relevant or irrelevant, providing no ranking of results.
What is result set clustering.
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Briefly explain N-gram retrieval utility.
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Write a short note on Query translation used in cross language information retrieval.
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What is pivot language?
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What is k-scan algorithm
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Write a short note on duplicate elimination.
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Write a short notes on Boolean Retrieval.
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Write a brief note on Page Rank algorithm.
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Part B
Define vector space model and calculate the Similarity coefficients with an example.
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Explain in detail about Non Binary independence model.
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Explain the procedure to calculate weighting factor for a term in a document.
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Explain how Relevance feed back is implemented using vector space model.
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Write a short note on Damashek clustering method.
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Explain in detail how thesaurus is constructed manually.
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Explain in detail about R-Distance measure.
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Write a short note on semantic network retrieval utility.
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Explain in detail about Part-of-speech (POS) taggers and word sense taggers.
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Write a short on parsing of simple phrases.
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What is inverted index? Explain in detail about inverted index compression with an example.
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Explain briefly about query processing.
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Explain in detail about signature files.
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Explain how information retrieval can be considered as a relational application.
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Explain in detail about multidimensional data model.
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Write a short note on evaluation of web search engines.
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Explain with a neat diagram about distributed information retrieval.
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