CIA Search Systems and Findability 2 — Questions and Answers
Question 1: Which component of a search system is responsible for transforming raw documents into indexed, searchable representations?
- Query parser
- Index builder (Correct answer)
- Relevance ranker
- Result renderer
Correct answer: Index builder
The index builder (or indexer) processes raw content and creates the inverted index structure that enables fast retrieval.
Question 2: In information architecture, 'precision' in search refers to:
- The percentage of relevant documents retrieved out of all retrieved documents (Correct answer)
- The percentage of relevant documents retrieved out of all relevant documents in the collection
- The speed at which search results are returned
- The number of unique terms in the search index
Correct answer: The percentage of relevant documents retrieved out of all retrieved documents
Precision measures the ratio of relevant results returned to total results returned, indicating how 'clean' the result set is.
Question 3: A 'stopword' in search indexing is best described as:
- A keyword that triggers content filtering
- A common word (e.g., 'the', 'and') excluded from the index to improve efficiency (Correct answer)
- A word that stops query expansion from occurring
- A reserved term in the search query syntax
Correct answer: A common word (e.g., 'the', 'and') excluded from the index to improve efficiency
Stopwords are high-frequency, low-value words that are typically excluded from the index to reduce noise and storage overhead.
Question 4: Which search pattern best supports users who know what they want but cannot recall the exact terminology?
- Known-item search
- Exploratory search
- Associative or 'Don't know what I need' search (Correct answer)
- Re-finding search
Correct answer: Associative or 'Don't know what I need' search
Associative search supports users with a vague or approximate understanding of their target, relying on related terms and browse paths.
Question 5: What is the primary purpose of query expansion in a search system?
- To increase the page size of search results
- To broaden retrieval by adding synonyms or related terms to the original query (Correct answer)
- To restrict results to an exact phrase match
- To reorder results by publication date
Correct answer: To broaden retrieval by adding synonyms or related terms to the original query
Query expansion automatically adds synonyms, related terms, or alternate spellings to improve recall for users whose terms don't exactly match indexed content.
Question 6: In the context of faceted search, a 'facet' is most accurately defined as:
- A Boolean operator used in advanced search
- A pre-defined dimension or category attribute used to filter search results (Correct answer)
- A visual thumbnail preview of a search result
- An algorithm that scores document relevance
Correct answer: A pre-defined dimension or category attribute used to filter search results
A facet is a controlled attribute dimension (e.g., price range, color, format) that allows users to progressively narrow a result set.
Question 7: Which ranking signal is most characteristic of TF-IDF (Term Frequency-Inverse Document Frequency)?
- It prioritizes documents with the most inbound links
- It scores terms higher when they appear frequently in a document but rarely across the corpus (Correct answer)
- It ranks documents by recency of publication
- It boosts results based on user click-through rate
Correct answer: It scores terms higher when they appear frequently in a document but rarely across the corpus
TF-IDF rewards terms that are frequent within a specific document but rare across the entire collection, making them strong discriminators.
Which component of a search system is responsible for transforming raw documents into indexed, searchable representations?