NLP

Overview

ExpertRec Search includes Natural Language Processing (NLP) capabilities that help the search engine understand phrases and intent, not just individual keywords. When enabled, the NLP engine can parse complex queries like “red cotton shirts under $20” or “active noise canceling headphones between $200 and $300” and extract structured attributes (color, material, product type, price range) to deliver precise results.

This reduces the need for customers to manually apply filters and scroll through results to find what they are looking for.

Query Tagging and Intent Classification

ExpertRec’s NLP engine automatically classifies search queries by intent and extracts named entities.

• Intent types: product search, informational, navigational, comparison.
• Entity extraction: In the query “red cotton shirt under $20”, the engine recognizes color, material, product type, price condition, and price value.
• Configuration: Navigate to AI > AI Filtering to configure query tagging rules and review how queries are being classified.

How NLP Improves Search

• Customers can search using natural phrases instead of exact product names.
• Price range queries (“under $50”, “$100 to $200”) are automatically converted to price filters.
• Color, size, and material mentions are matched to the corresponding product attributes.
• Works alongside Agentic Search for full conversational search experiences.

Zero Results Analysis

• When a search returns no results, the NLP engine helps analyze why.
• Common causes: misspellings, out-of-stock items, missing synonyms, unrecognized entities.
• Navigate to Reporting > Search Insights > Zero Result Searches to review all failed queries.
• Use this data to add synonyms, expand product descriptions, or identify catalog gaps.

Enabling NLP Features

1. Log in to your ExpertRec dashboard.
2. Navigate to AI > AI Filtering.
3. Configure the entity recognition rules for your catalog.
4. Save your changes. The NLP engine will begin processing queries immediately.