Enlist Features of IR System.
Information Retrival Question Papers - SPPU University
Access and download Information Retrival question papers from Savitribai Phule Pune University (SPPU). Our collection includes INSEM (Internal Semester) and ENDSEM (End Semester) exam papers.
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Information Retrival
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Information Retrival Questions
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2025 Aug INSEM
Q1
15 MarksDifferentiate between Data Retrieval and Information Retrieval.
What is Boolean Retrieval?
Q2
15 MarksWrite a short note on Vector Space Model.
What are the components of IR Model?
Explain Concept of Text Categorization.
Q3
15 MarksDiscuss different types of dictionaries in information retrieval.
Explain Static Inverted Index.
Q4
15 MarksExplain Index Construction in details.
Explain Query Processing for Ranked retrieval.
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524(B) |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | 6580-701 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | INSEM |
| Exam Session | 2025 Aug INSEM |
| Watermark | ['CEGP013091', '49.248.216.237 23/08/2025 13:37:50 static-237'] |
2024 Sep INSEM
Q1
15 MarksExplain Major Challenges in IR.
Discuss Components of IR Models.
Draw and Explain Block Diagram of IR System.
Q2
15 MarksCompare information and data retrieval.
What are the methods of text categorization?
Explain features of an IR system.
Q3
15 MarksList and Explain steps of indexing in information retrieval.
What are the three components of query optimization?
Define i) Impact ordering. ii) Ranked Retrieval.
Q4
15 MarksWhat is index lifecycle in information retrieval?
Discuss types of dictionaries in information retrieval.
What are Components of Index?
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524 B |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6361]-195 |
| Academic Year | B.E. |
| Branch Name | AI & DS |
| Exam Type | INSEM |
| Exam Session | 2024 Sep INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 05/09/2024 13:37:11 static-238'] |
2023 Sep INSEM
Q1
15 MarksWrite short note on Vector Model & Probabilistic Model.
Enlist features of IR system.
Explain methods of text categorization.
Q2
15 MarksWhat are the Components of IR model?
Differentiate between Data retrieval & Information retrieval.
What is Boolean Retrieval?
Q3
15 MarksWrite Short Note on following. i) Dynamic Indexing. ii) Impact Ordering.
Explain the static inverted index.
What are the components of index?
Q4
15 MarksDiscuss different types of dictionaries in information retrieval.
Explain Index Construction in detail.
Explain Query Processing for Ranked Retrieval.
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524 B |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6188]-279 |
| Academic Year | B.E. |
| Branch Name | AI & DS |
| Exam Type | INSEM |
| Exam Session | 2023 Sep INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 08/09/2023 13:43:19 static-238'] |
2025 Nov Dec ENDSEM
Q1
18 MarksDefine and explain Probabilistic Retrieval.
What is the binary independent retrieval model?
Explain types of language models.
Q2
18 MarksList and explain the challenges in Natural language processing.
State and explain different types of Bayesian networks?
Explain with suitable example different levels of NLP.
Q3
17 MarksWhat is the difference between clustering and classification? Can clustering be used for classification purposes.
What are different types of clustering algorithm? Explain any one of them.
Explain in detail about naïve Bayes algorithm and its application in text classification.
Q4
17 MarksWhat is K nearest neighbor classifier with an illustration in information retrieval?
Explain Mixture of Gaussians Model.
Solve Agglomerative hierarchical clustering for single link with example.
Q5
17 MarksDescribe MapReduce with example.
Discuss the factors that influence a webpage’s PageRank score. Discuss the challenges involve in web search engine.
Define Python library is used for web crawling.
Q6
17 MarksExplain Simple Ranking Functions in detail.
What are the Main challenges posed by Web?
Explain the components of focused web crawlers.
Q7
18 MarksExplain multimedia IR models.
What are the four phases of recommender system?
Q8
18 MarksWhat are the different evaluation metric for Recommender system.
What is the difference between information retrieval and recommender system?
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6584]-390 |
| Academic Year | B.E. |
| Branch Name | AI & DS |
| Exam Type | ENDSEM |
| Exam Session | 2025 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 22/12/2025 13:41:21 static-237'] |
2024 May Jun ENDSEM
Q1
16 MarksDefine and explain Probabilistic Retrieval.
Define the following with respect to Information Retrieval: i) Vector Space Model ii) Term Frequency iii) Inverse Document Frequency
What is the binary independent retrieval model?
Q2
16 MarksList the problems associated with n-gram. Explain how these problems are handled.
List and explain the challenges in Natural language processing.
Explain with suitable example different levels of NLP.
Q3
18 MarksWhat is the difference between clustering and classification? Can clustering be used for classification purposes?
What are different types of clustering algorithm? Explain any one of them.
Explain in detail about naïve Bayes algorithm and its application in text classification.
Q4
18 MarksWrite partitioning algorithm for clustering.
Solve Agglomerative hierarchical clustering for single link with example.
Q5
18 MarksDiscuss the factors that influence a webpages PageRank score. Discuss the challenges involve in web search engine.
What is page ranking? Calculate page rank of following web pages. Assume damping factor 0.7.
Q6
18 MarksDefine Python library is used for web crawling?
What are the main challenges posed by Web?
Explain the components of focused web crawlers?
Q7
18 MarksOutline the steps to build a recommender system with an example.
What are the four phases of recommender system?
Q8
18 MarksMulitimedia Information Retrieval.
What are the different evaluation metric for Recommender system.
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524 B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6263]-387 |
| Academic Year | B.E. |
| Branch Name | A.I. & D.S. |
| Exam Type | ENDSEM |
| Exam Session | 2024 May Jun ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.238 22/05/2024 14:16:47 static-238'] |
2024 Nov Dec ENDSEM
Q1
18 MarksDefine and explain Probabilistic Retrieval.
What is the binary independent retrieval model?
Explain types of language models?
Q2
18 MarksList and explain the challenges in Natural language processing
State and explain different types of Bayesian networks?
Explain with suitable example different levels of NLP
Q3
17 MarksWhat is the difference between clustering and classification? Can clustering be used for classification purposes?
What are different types of clustering algorithm? Explain any one of them.
Explain in detail about naïve Bayes algorithm and its application in text classification
Q4
17 MarksWhat is K nearest neighbor classifier with an illustration in information retrieval?
Explain Mixture of GaussiansModel.
Solve Agglomerative hierarchical clustering for single link with example.
Q5
17 MarksFactors that influence a webpage’s PageRank score
Discuss the factors that influence a webpage’s PageRank score. Discuss the challenges involve in web search engine
Define Python library is used for web crawling?
Q6
17 MarksDefine Python library is used for web crawling?
What are the Main challenges posed by Web?
Explain the components of focused web crawlers?
Q7
18 MarksExplain multimedia IR models?
What are the four phases of recommender system?
Q8
18 MarksWhat are the different evaluation metric for Recommender system.
What is the difference between information retrieval and recommender system?
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524 B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6354]-788 |
| Academic Year | B.E. |
| Branch Name | AI&DS |
| Exam Type | ENDSEM |
| Exam Session | 2024 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 20/12/2024 13:47:58 static-237'] |
2023 Nov Dec ENDSEM
Q1
18 MarksDefine and explain Probabilistic Retrieval.
What is the probability ranking principle for interactive information retrieval?
What is the binary independent retrieval model?
Q2
18 MarksWhat is language modeling approach to information retrieval?
State and explain different types of Bayesian networks?
Explain language models?
Q3
17 MarksWhat is the difference between clustering and classification? Can clustering be used for classification purposes?
What are different types of clustering algorithm? Explain any one of them.
What are the applications of naive Bayes classifier?
Q4
17 MarksWhat is K nearest neighbor classifier with an illustration in information retrieval?
What are the different types of agglomerative clustering?
What is the hypothesis used in the vector space model for classification?
Q5
17 MarksFactors that influence a webpage’s PageRank score.
Explain search engine ranking function?
What is parallelism in query processing?
Q6
17 MarksDefine Python library is used for web crawling?
What are the Main challenges posed by Web?
Explain the components of focused web crawlers?
Q7
18 MarksExplain multimedia IR models?
What are the four phases of recommeder system?
Q8
18 MarksMultimedia Information Retrieval.
What is the difference between information retrieval and recommender system?
| Subject Name | Information Retrival |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417524 B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2 ½ Hours |
| Paper Number | [6181] - 411 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2023 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.238 11/12/2023 13:54:33 static-238'] |