English
What is Word Decompounding?
Word Decompounding is the process of breaking down compound words into their separate, meaningful parts. It is important in searches because it helps identify individual keywords in compound words and use them to improve search results. This feature is especially useful for searches performed in certain languages. Compound words are broken down into separate words, and Search can find the right products.
How can you use Word Decompounding?
Word Decompounding is automated, so you don’t have to do anything manually. The feature can help identify separate words in a compound word and identify the right products based on them.
This feature is most prominent in languages such as German, where compound words are very common and sometimes include words from other languages as well. Take, for example, the real-world product Potato-brötchen. It’s a compound word created from the English word potato and the German word brötchen (bread roll).
If a customer enters the compound word “potatobrötchen” into Search, the feature breaks down the word into “potato” and “brötchen” and finds the closest matches. Without Word Decompounding, Search couldn’t correctly identify that the customer is searching for potato-based bread rolls, and it would show no results instead.
What are the benefits of Word Decompounding?
- Improved search flexibility
- Better search query recognition
- More accurate search results
Stop Words
Stop words are common terms removed from search indexes to improve accuracy and efficiency by focusing on relevant keywords.
Search Glossary
Your comprehensive guide to the world of product discovery. Find definitions, explanations, and examples. Expand your knowledge now!
Search Results
Search results are the pages, documents, or data sets returned in response to a user’s search query, helping them find relevant information.
Query Preprocessing
Query preprocessing refines search queries by correcting, normalizing, and optimizing them to ensure accurate search results and a better user experience.
Word Exclusion
It refines results by filtering out specific terms, excluding irrelevant information, and enhancing focus.
Word Embedding
Word embedding represents a significant breakthrough in deep learning for understanding and processing text data.
Synonym Expansion: The Secret to Better Communication and SEO
Synonym expansion is a process of automatical search results expansion by adding synonyms of the query terms derived from a thesaurus.
Phrase Extraction
Phrase extraction is the procurement of linguistic concepts, generally phrases, from a given document.
