Natural language processing (NLP) is a component of artificial intelligence (AI) that enables computer programs and functions to understand human speech as it is spoken. In commerce-oriented websites and apps, NLP supports meaning-based search, allowing shoppers to search for items in their own language while still producing relevant results, even if the search terms do not directly match keywords in product records.
As opposed to pure keyword-based searches, NLP strikes the critical balance between delivering a variety of highly on-target search results without inundating customers with results they’re not looking for.
Here are three tips for successfully applying NLP capabilities to ecommerce:
Focus on Product and Descriptor Awareness
Let’s take the example of a shopper searching for “blue one-piece children’s pajamas.” Basic keyword-based search works by identifying all documents and pages that include one or more of these terms, which could include “blue one-piece children’s bathing suit” or “blue one-piece children’s jumpsuit.” While this may produce a thorough set of results, it actually risks going too far and wide presenting results that may not be relevant, potentially overwhelming and alienating the customer.
As opposed to pure keyword-based searches, NLP strikes the critical balance between delivering a variety of highly on-target search results without inundating customers with results they’re not looking for.
Here are three tips for successfully applying NLP capabilities to ecommerce:
Focus on Product and Descriptor Awareness
Let’s take the example of a shopper searching for “blue one-piece children’s pajamas.” Basic keyword-based search works by identifying all documents and pages that include one or more of these terms, which could include “blue one-piece children’s bathing suit” or “blue one-piece children’s jumpsuit.” While this may produce a thorough set of results, it actually risks going too far and wide presenting results that may not be relevant, potentially overwhelming and alienating the customer.
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