Phoenix - Your AI AssistantNLU for Search — Query Understanding & Intent-Driven Search
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5 days
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What you get with this Offer
I will build an NLU-powered query understanding layer for your search system — covering query intent classification (informational, navigational, transactional, or domain-specific), entity extraction from search queries, query expansion using semantic similarity, spelling correction, and a search result ranking model that incorporates query intent signals alongside relevance scoring. Search systems that treat every query as a keyword matching problem miss the intent behind the query — a user searching "how do I return a product" needs a support article, not a product listing; a properly designed NLU query understanding layer routes queries to the right content type before ranking begins.
The build covers query intent classifier for your content types, entity extraction from search queries, query expansion with semantic synonyms, spelling correction, intent-aware result routing and ranking, and integration with your existing search backend (Elasticsearch, Solr, or custom).
The build covers query intent classifier for your content types, entity extraction from search queries, query expansion with semantic synonyms, spelling correction, intent-aware result routing and ranking, and integration with your existing search backend (Elasticsearch, Solr, or custom).
What the Freelancer needs to start the work
Please share your search query logs, your content types and how they map to user intents, your current search backend, and your search quality metrics and known failure patterns.