Redefining Intelligent Search

Beyond keyword matching, understand query intent through semantic analysis. When users search for "desk for computer", it accurately retrieves computer desks even if those exact words aren't in the product title.

Automatically identify brands, colors, sizes, and categories in queries using pre-built entity dictionaries. Out-of-the-box industry dictionaries with flexible manual configuration—easily add custom brand names and product terminology.

Automatically correct spelling errors using offline-mined correction dictionaries. Examples: "Iphoe" → "iPhone", "Smasung" → "Samsung". Visual dictionary configuration supports adding common misspellings for new brands and products.

Intelligently predict query category to prioritize the most relevant products. Solves mixed results problems, helps users quickly narrow down targets, and dramatically improves search precision.

Unify related terms like "hoodie", "sweatshirt", and "pullover". Visual configuration backend for flexible business terminology management.

Automatically filter ineffective words like "the", "a", "with" to keep search focused on core content.