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InsemSep 20232019 patternBE IT

Information & Storage Retrieval (ISR) SPPU Insem Question Paper Sep 2023

All 4 questions from this SPPU insem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated ISR questions
Subject code
414441
Pattern
2019 pattern
Exam
Insem
Session
Sep 2023
Max. marks
30
Time
1 Hour
Semester
VII
Paper code
[6188]-200

Printed for: B.E. (I.T.) (Insem)

Instructions to the candidates

  1. Answer Q1 or Q2, Q3 or Q4.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right side indicate full marks.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      Analyse the concept behind the single pass algorithm and the single link algorithm for clustering. Compare and contrast these two techniques, highlighting their advantages, disadvantages, and situations where each approach would be more suitable. Provide a scenario for each algorithm to illustrate their application.

      [8]
    2. b)

      Differentiate between data retrieval and information retrieval.

      Also asked:Sep 2024 ·Oct 2022

      [4]
    3. c)

      Define the following terms. i) Precision ii) Recall

      Also asked:Nov 2025 ·May 2025 ·May 2024 ·Nov 2023

      [3]

  2. Q2

    1. a)

      Explain Conflation algorithm to generate document representative of a document with a proper example.

      Also asked:Sep 2024

      [8]
    2. b)

      What are the different measures of association? Explain any three matching coefficients with suitable examples. 2

      Also asked:Sep 2024

      [7]

  3. Q3

    1. a)

      Demonstrate the application of the Boolean search technique using a set of documents and a complex Boolean query involving multiple operators (AND, OR, NOT).

      [5]
    2. b)

      Explain the concept of Inverted index file. How it can be used in Information Retrieval.

      Also asked:Aug 2025 ·Sep 2024 ·Oct 2022

      [6]
    3. c)

      List and explain the types of queries.

      [4]

  4. Q4

    1. a)

      Explain exhaustivity and specificity with respect to Index term weighting.

      Also asked:Sep 2024

      [4]
    2. b)

      Compare and contrast the basic concepts, strengths, and limitations of the Boolean Model, Vector Model, and Probabilistic Model. Provide insights into when and why each model would be chosen to optimize search results, considering factors like ranking accuracy and complexity.

      [8]
    3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [3]