中文Pinpoint areas of improvement to drive higher retention
Use case
From interpreting queries to assessing results, there are various ways to evaluate a search engine for relevance. To ensure that users receive the most accurate results for their search queries, you’ll want to pinpoint which aspect of your search needs the most attention.
Our approach
Appen assists its clients in improving the search experience by providing enhanced machine learning training data that generates accurate search results. Whether it’s reviewing whole pages or specific queries, we can design a customized program to improve your overall search relevance.
Why Appen?
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 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.
Additional resources
5 Machine Learning Use Cases that are Making a Difference in the Business World
Companies that are using machine learning are starting to reap the rewards and transform the way they do business. Machine learning is allowing businesses to optimize operations, deliver better customer experiences, enhance security and more. As enterprises race to stand out from the competition and do more with the same resources, machine learning is becoming an important investment. Here are …
Appen’s Expertise Ensures eCommerce Retailer’s Scalability [Case Study]
A global eCommerce company needed support for one-time evaluation projects. Appen’s on-demand crowd and project management expertise were a perfect fit.
Appen to Acquire Leapforce
Appen Limited (ASX:APX) today announced it has signed a definitive agreement to acquire Leapforce Inc.