Exam Details
| Subject | information retrieval systems | |
| Paper | ||
| Exam / Course | b.tech | |
| Department | ||
| Organization | Vardhaman College Of Engineering | |
| Position | ||
| Exam Date | November, 2017 | |
| City, State | telangana, hyderabad |
Question Paper
(AUTONOMOUS)
B. Tech VIII Semester Supplementary Examinations, November 2017
(Regulations: VCE-R11/R11A)
INFORMATION RETRIEVAL SYSTEMS
(Common to Computer Science and Engineering Information Technology)
Date: 18 November, 2017 AN
Time: 3 hours
Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1.
With example, explain information retrieval Browse capabilities.
7M
Describe Item Normalization and Selective Dissemination of Information functional process of total information storage and retrieval system.
8M
2.
Enumerate the different classes of index files in index database search.
7M
Illustrate the different objectives of information retrieval system.
8M
Unit II
3.
Differentiate between precoordination and postcoordination linkages, also with a neat diagram demonstrate the process of linkages of index terms.
8M
Using the words below plus the addition word "boxer", draw the symbol tree and the successor variety stemming diagram. Bag, barn, bring, both, box and bottle.
7M
4.
List out the process in extracting the information, also discuss:
i. The metrics used to compare extraction
ii. Document summarization
8M
With an example discuss vector weighting.
7M
Unit III
5.
Explain about complete term relational method, including simple measure equation with all parameters used to calculate relationship between two terms.
8M
With an example discuss centroid comparison related to similarity measure.
7M
6.
Explain about the relevance feedback used to improve future searches including the necessary formulas.
8M
With an example describe preattentive detection mechanism.
7M
Unit IV
7.
With a neat block diagram, explain Text Streaming Architecture.
7M
Explain about Fallout and Unique Relevance Recall methods.
8M
8.
Describe GESCAN text array processor.
7M
Describe hardware text search unit with a neat diagram.
8M
Unit V
9.
Explain how videos can be retrieved using BNN technique.
8M
Describe imagery retrieval from web page retrieval to digital camera.
7M
10.
Explain how to retrieve content based access to speech/audio retrieval.
8M
Describe different classical information retrieval models.
7M
B. Tech VIII Semester Supplementary Examinations, November 2017
(Regulations: VCE-R11/R11A)
INFORMATION RETRIEVAL SYSTEMS
(Common to Computer Science and Engineering Information Technology)
Date: 18 November, 2017 AN
Time: 3 hours
Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1.
With example, explain information retrieval Browse capabilities.
7M
Describe Item Normalization and Selective Dissemination of Information functional process of total information storage and retrieval system.
8M
2.
Enumerate the different classes of index files in index database search.
7M
Illustrate the different objectives of information retrieval system.
8M
Unit II
3.
Differentiate between precoordination and postcoordination linkages, also with a neat diagram demonstrate the process of linkages of index terms.
8M
Using the words below plus the addition word "boxer", draw the symbol tree and the successor variety stemming diagram. Bag, barn, bring, both, box and bottle.
7M
4.
List out the process in extracting the information, also discuss:
i. The metrics used to compare extraction
ii. Document summarization
8M
With an example discuss vector weighting.
7M
Unit III
5.
Explain about complete term relational method, including simple measure equation with all parameters used to calculate relationship between two terms.
8M
With an example discuss centroid comparison related to similarity measure.
7M
6.
Explain about the relevance feedback used to improve future searches including the necessary formulas.
8M
With an example describe preattentive detection mechanism.
7M
Unit IV
7.
With a neat block diagram, explain Text Streaming Architecture.
7M
Explain about Fallout and Unique Relevance Recall methods.
8M
8.
Describe GESCAN text array processor.
7M
Describe hardware text search unit with a neat diagram.
8M
Unit V
9.
Explain how videos can be retrieved using BNN technique.
8M
Describe imagery retrieval from web page retrieval to digital camera.
7M
10.
Explain how to retrieve content based access to speech/audio retrieval.
8M
Describe different classical information retrieval models.
7M
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