Train your search algorithm to understand a variety of query types to increase user retention
Providing a correct answer for a search query requires a strong understanding of what customers are looking for. Your search engine algorithm needs to be trained to identify different query types such as category queries, natural language queries, informational queries and more. As difficult as that may be, it is made more challenging by the need to support multiple languages and cultures. These issue are at the heart of query categorization, but are key to ensuring that users get the results they are looking for and continue to use your search engine in the future.
Our skilled web search evaluators categorize the different types of queries and provide this information back to our clients for them to compare with the search engine’s categorization and pinpoint where the algorithm needs refinement. Appen offers our clients in-market evaluators all over the world to provide valuable, local insight. Our evaluators are local experts who can apply a greater level of understanding and quality when assessing query terms.
We’ve developed our expertise by working with global leaders in search technology and apply our insights gained to help solve your unique business challenges. Our highly experienced teams work closely with you to understand your needs, and develop specific programs to help meet your objectives. And with access to a crowd of 400,000 people in over 180 countries you can improve the accuracy of your search results for users worldwide.