Train your search algorithm with the right data to give users more relevant search results
How we help
In an environment where users expect faster, more relevant search results, you need to ensure that your search algorithm is being trained on a regular basis with high-quality data sets. To scale to a global user base, you also need experienced local users who can evaluate query results with the right level of cultural understanding.
Appen can help. With years of experience helping to improve search algorithms for users worldwide, we can dramatically improve your search relevance and user satisfaction.
Our approach
Whether your team is concerned with the accuracy of query results, ad performance or personalization, our team will design a program to address your specific business challenges. Further, our skilled global crowd provides access to over 130 target markets, allowing you to scale your search relevance efforts to meet global customer needs.
Our seasoned project managers are an extension of your team, and can quickly ramp the necessary resources to start generating results right away. Our team also works closely with you to ensure that quality levels meet your standards.
Why Appen?
Through our years of experience improving search algorithms for clients worldwide, we’ve developed a strong and repeatable methodology for search relevance projects. And with access to an experienced crowd of over 1 million people worldwide, we can quickly scale to meet our customers’ needs.
Our data services
- Consultative Services
We work closely with your team to develop a customized program that addresses your unique business challenges.
- Data Annotation
Improve your machine learning-based products with high-quality, human-annotated training data.
- Personalization
Train your algorithm to deliver more personalized results for your users, driving higher satisfaction and engagement.
- Relevant Search Evaluation
We provide customized programs designed to improve the accuracy and relevancy of your search results.
- Semantic Annotation
Improve product listings and on site search with semantic annotation.
- Translation and Localization
Traditional translation and machine translation services from language and data experts.
Additional resources
Why Human-Annotated Data is Key to Machine Learning: Three Use Cases
Machine learning requires high volumes of data for training, validation, and testing. A machine learning model learns to find patterns in the input that is fed to it. This input is referred to as training data. As you train your solution to form relationships between variables, it’s important to have the right data, structured in the right format, covering all …
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 …
Insights from AI Expo 2017: Deep Learning in the Enterprise
I recently attended a keynote session at the AI Expo 2017 called “The Application of Deep Learning within an Enterprise”, a panel featuring speakers across a variety of industries. The executives on the panel highlighted a wide variety of use cases for machine learning in their organizations, beyond what one would expect. For example, Vadim Kutsyy, Distinguished Architect, Data Science from …