How search increases profit?

In one of the recent articles we’ve covered what does Self-learning Search means and uncovered how Search optimizes order and suggests more relevant items for a visitor. It's a very efficient technique, and brings interested items to a visitor first. But Kea Labs search make step further - it’s a profit-oriented search, which orders products based on the chance of the purchase and a potential profit of transaction.
Let’s unveil some of the algorithms behind this!

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How to improve search quality?

Every Store is unique: it has different products, business processes, requirements for search.
And even if Kea Labs Search understands semantics and smartly matches products, some adjustment is needed to reflect these unique requirements of Store.
One of the things which often improves search quality is configuration of searchable content and priorities.
Sounds complicated? No worries, in this article you may find a lot of examples.

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What linguistic features modern search needs?

Do you like how Google fixes your typos, understands you and shows interesting information?
Let’s talk about linguistic aspects of search, separately from relevance or smart ordering of products based on Machine Learning and data analysis.
What linguistic features you need in your store search?

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What is a Self-learning Search?

More advanced search engines, like Kea Labs search goes even further. They may combine multiple factors in order to predict the chance of buying product and evaluates the potential profit of a sell. For simplicity, let’s omit this profit-related aspects of search, we’ll cover them separately here.

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