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There is a theme here: to make search more of a push function (pushing the correct data based on prompts) rather than a pull function (typing in a search string and getting the end user to choose from many options). These filtered results then feed through a more advanced AI algorithm that continually learns and, in theory, improves the quality of the results it provides over time (see Figure 1). These SearchAI modules run on a second common platform that uses machine learning to understand content popularity and add a degree of personalization to gradually filter and narrow down result options.
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