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The descriptions of products have significant variations, and this depends on where they are gotten from. Websites which have a wide range of products in stock have the challenge of maintaining accurate and precise descriptions, and this makes producing the right outcomes a big challenge for onsite search engines.
With semantic annotation, you can instruct the learning algorithm of your machine to always yield results with improved precision which will help your clients to easily locate the products that they need.
At INCN, we will use tags for all the existing sections of your products names and their search queries and, then, train your machine learning algorithm to easily understand these components. This will translate into an improvement in the results being yielded by onsite searches.
As often as you change your stock with the passage of time, INCN will be there to actively ensure that your onsite search results are accurate to match the stock changes.
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