- 1. Information retrieval is the process of obtaining relevant information from a collection of data. It involves searching for and retrieving data that is important, useful, and matches the user's information needs. Information retrieval systems utilize various techniques such as indexing, querying, and ranking to efficiently locate and present relevant information to users. These systems play a crucial role in making vast amounts of data accessible and manageable, enabling users to find, access, and make use of valuable information resources.
What is a key component of information retrieval systems?
A) Compression
B) Encryption
C) Indexing
D) Decryption
- 2. What is recall in information retrieval?
A) The ability of a system to retrieve all relevant documents.
B) The speed of information processing.
C) The security of data storage.
D) The accuracy of data retrieval.
- 3. What is precision in information retrieval?
A) The size of the data set.
B) The type of information storage.
C) The speed of data retrieval.
D) The fraction of retrieved documents that are relevant.
- 4. What is stemming in information retrieval?
A) Encrypting data for security.
B) Organizing data in a database.
C) Analyzing data patterns.
D) Reducing words to their root form.
- 5. Which term refers to the process of extracting information from unstructured text?
A) Text mining
B) Data encryption
C) Data compression
D) Algorithm optimization
- 6. Which term refers to the process of expanding a search query to retrieve more relevant results?
A) Query expansion
B) Algorithm optimization
C) Data compression
D) Text mining
- 7. What is a term frequency-inverse document frequency (TF-IDF) in information retrieval?
A) A data storage method.
B) A data compression technique.
C) A statistical measure to evaluate the importance of a term in a document.
D) An encryption key
- 8. What is a Boolean search in information retrieval?
A) A search for encrypted data.
B) A search based on numeric values.
C) A search for multimedia files.
D) A search using operators like AND, OR, NOT to refine results.
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