Turn more shoppers into buyers. Ensure that users can find the products they are looking for.
Product descriptions can vary greatly, depending on where they are sourced. Sites with large inventories can struggle to keep descriptions accurate, making it harder for on-site search engines to return the most relevant results. Semantic annotation helps train your machine learning algorithm so that search results are much more accurate, leading shoppers to the products they are looking for.
By tagging the various parts of product titles and search queries, we can train your algorithm to recognize these parts, thus improving your search relevance. As your inventory changes over time, we can help ensure the accuracy and relevance of your on site search results.
With access to a crowd of 1 million people in over 180 countries, combined with our experienced project managers, you can improve the accuracy of your product results for users worldwide. Our curated crowd provides the local market knowledge and the subject matter expertise needed to produce the high quality data for your machine learning algorithm.