Search that infers what users want
Constructor Search uses natural language processing (NLP) and artificial intelligence to present query results that approximate user intent. Inferring user intent enables accurate search results and increases purchase rates, making NLP an important contributor to successful searches. Inferring intent is simply not a feature of traditional search engines.
Keep users on task
Users prefer accurate results from search on the first try. So do site owners. And poor query results is a real business issue because nearly 12% of product searches have errors that could undermine the search journey.
NLP keeps your users on task and satisfied. It assists and guides them toward their intended results. It figures into improving results both as users type their queries with AutoSuggest and in the broader set of prioritized results through full Search.
And Constructor Search works fast, faster than users can type their queries!
nlp at work
Butter vs. Peanut Butter
Multiple NLP approaches
NLP in search isn’t a single technology, rather a set of interrelated computational approaches that work together to home in on user intent.