CIA Search Systems and Findability 2

Question 1

Which component of a search system is responsible for transforming raw documents into indexed, searchable representations?

Accepted Answer

Index builder

Answer

Query parser

Answer

Relevance ranker

Answer

Result renderer

Question 2

In information architecture, 'precision' in search refers to:

Accepted Answer

The percentage of relevant documents retrieved out of all retrieved documents

Answer

The percentage of relevant documents retrieved out of all relevant documents in the collection

Answer

The speed at which search results are returned

Answer

The number of unique terms in the search index

Question 3

A 'stopword' in search indexing is best described as:

Accepted Answer

A common word (e.g., 'the', 'and') excluded from the index to improve efficiency

Answer

A keyword that triggers content filtering

Answer

A word that stops query expansion from occurring

Answer

A reserved term in the search query syntax

Question 4

Which search pattern best supports users who know what they want but cannot recall the exact terminology?

Accepted Answer

Associative or 'Don't know what I need' search

Answer

Known-item search

Answer

Exploratory search

Answer

Re-finding search

Question 5

What is the primary purpose of query expansion in a search system?

Accepted Answer

To broaden retrieval by adding synonyms or related terms to the original query

Answer

To increase the page size of search results

Answer

To restrict results to an exact phrase match

Answer

To reorder results by publication date

Question 6

In the context of faceted search, a 'facet' is most accurately defined as:

Accepted Answer

A pre-defined dimension or category attribute used to filter search results

Answer

A Boolean operator used in advanced search

Answer

A visual thumbnail preview of a search result

Answer

An algorithm that scores document relevance

Question 7

Which ranking signal is most characteristic of TF-IDF (Term Frequency-Inverse Document Frequency)?

Accepted Answer

It scores terms higher when they appear frequently in a document but rarely across the corpus

Answer

It prioritizes documents with the most inbound links

Answer

It ranks documents by recency of publication

Answer

It boosts results based on user click-through rate