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Tuesday, 12 October 2021

Multiple Choice Questions with Answers in Information Retrieval SET 5

Top 5 quiz questions in IR, Information retrieval quiz, information retrieval mcqs with answers, information retrieval,  stemming, query expansion, recall, click relevance feedback, TF-IDF, IR questions answers for GATE exams, vector space retrieval

Information Retrieval MCQs - SET 05

1. Which of the following is a disadvantage of click relevance feedback method?

a) Easy availability

b) Less noisy

c) Very noisy

d) Very expensive to obtain

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2. Let us suppose that the number of documents in a corpus is M, the average length of a document (in terms of number of words) is N, the size of vocabulary (number of unique keywords in the corpus) is V, the average length of a query is Q, and the average number of documents in which a query word appears is D. What is the time complexity of query processing with inverted index in vector space information retrieval?

a) V * M

b) V * D

c) Q * D

d) Q * N

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3. Which of the following is true about Stemming?

a) It increases the recall and reduces the precision

b) It increases the precision and reduces the recall

c) Recall and precision are equal if you use stemming

d) None of the above

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4. The TF-IDF weight a term t will be ______ when t occurs many times within a small number of documents.

a) Lowest

b) Highest

c) Cannot determine

d) Lower

 

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5. The TF-IDF weight of a term t will be ______ when t occurs in virtually all documents.

a) Lowest

b) Highest

c) Cannot determine

d) Lower

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Keywords

What is the time complexity of query processing with inverted index in vector space information retrieval?

Stemming increases recall and reduces precision.

Why recall is referred as non-decreasing function of the number of documents retrieved?

Why does the process of stemming reduces the value of recall?

Behavior of tf-idf for small number of documents with the term t against the large number of documents

Why does the value of tfidf decreases for a term that occurs in all the documents. 

What are the reasons for click relevance feedback is very noisy?

Why is the clickthrough relevance feedback (implicit relevance feedback) causes more noise / considered more noisy.

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