Everything About ___
Live briefing

Everything about Query expansion

Text query method in information retrieval

Query expansion (QE) is the process of reformulating a given query to improve retrieval performance in information retrieval operations, particularly in the context of query understanding. In the context of search engines, query expansion involves evaluating a user's input and expanding the search query to match additional documents. Query expansion involves techniques such as:Finding synonyms of words, and searching for the synonyms as well Finding semantically related words Finding all the various morphological forms of words by stemming each word in the search query Fixing spelling errors and automatically searching for the corrected form or suggesting it in the results Re-weighting the terms in the original query Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Query expansionA 5-minute orientation
  2. Skim a recent paper: Improving query expansion using pseudo-relevant web knowledge for information retrievalInfluential work since 2022
  3. Pick up a classic book: XenocracyThe most-reprinted book on the subject
  4. Read the landmark paper: Query expansion by mining user logsCited 200 times
  5. Go sideways: Relevance feedbackA closely related topic
  6. Go sideways: Human–computer information retrievalA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics