Sunday, June 20, 2021

Multiple Choice Questions with Answers in Information Retrieval SET 2

Top 5 quiz questions in IR, Information retrieval quiz, information retrieval mcqs with answers, information retrieval,  stop word removal, inverted index, heaps' law, precision, recall, query expansion, inverse document frequency

Information Retrieval MCQs - SET 02

1. Which of the following is the local method for improving recall of an information retrieval system?

a) Query expansion

b) Relevance feedback

c) Ontology based model

d) None of the above

Click here to view answer and explanation


 

2. The process of removing most common words (and, or, the, etc.) by an information retrieval system before indexing is known as

a) Lemmatization

b) Stop word removal

c) Inverted indexing

d) Normalization

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3. An inverted index arranges data in a sorted order as per

a) the documents

b) the frequency of each document

c) the frequency of each term

d) the terms

Click here to view answer and explanation


 

4. The vocabulary size (unique words) of a text can be estimated using

a) Zipf’s law

b) Scientific law

c) Heaps’ law

d) Inverted index rule

Click here to view answer and explanation


 

5. A metric used measure the importance of a term in a text document collection is called

a) Inverse Document Frequency

b) Term Frequency

c) Inverse Term Frequency

d) Document Frequency

Click here to view answer and explanation


 

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Related links

 

Keywords

Which metric is used to measure the importance of a term in a collection in IR?

What does Heaps' law do?

How are data in inverted index arranged?

Why do we remove stop words? Importance of removing stop words. Contribution of stop word removal in information retrieval.

How local methods are helpful in improving recall of a retrieval system?

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