Use Whole Page Evaluation to ensure that your search engine results pages return better results for users around the world
In an environment where people expect faster, more accurate, relevant search results, whole-page evaluation helps ensure that a search engine results page (SERP) returns the most relevant and accurate answers, along with the effective captions that today’s users demand. Since a SERP is one of the first interactions that a user has with a site, a poor experience can contribute to the user’s dissatisfaction with your company, which can drive away business.
Appen assists its clients in improving the search experience by providing enhanced machine learning training data that generates accurate search results. An analysis of the whole page covers multiple page components, including answers, captions, related searches, and entity information. Appen’s evaluators determine user intent—as well as the accuracy of the presented results and the user’s satisfaction with them—to assess the user experience. Additionally, with processes and tools in place, Appen offers identification of incorrect content in addition to editorial fixes, which further enhances the user experience.
With access to a crowd of 400,000 people in over 130 countries, combined with our experienced project managers, you can improve the accuracy of your search results pages for users worldwide. Our curated crowd is skilled in search evaluation, and provides the local market knowledge needed to provide the right inputs to train your search engine algorithm.
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Let’s discuss your specific business challenges, and how we can help with our high-quality data. Tell us what you need and we’ll design a customized approach for you.