Uncover the latest AI trends in Appen's 2024 State of AI Report.
Resources
Blog

Why does human-annotated data matter for search? Learn at Lucene/Solr Revolution

Published on
September 13, 2017
Author
Authors
Share

Search is a critical component of any effective website or application, connecting users to the data they need to make decisions, whether it’s to find documents, do research or complete an online purchase. Modern search engines have evolved significantly in the past 5 years, incorporating machine learning and artificial intelligence techniques in all aspects of document and query processing, as well as in user profiling and personalization. These techniques require large volumes of high-quality training and evaluation data to be effective.Kevin Vondemkamp, Vice President of Web, Social & eCommerce at Appen and Grant Ingersoll, CTO of Lucidworks will discuss how Lucidworks leverages Appen’s crowdsourcing capabilities to enhance its machine learning technology and improve all aspects of the search experience.Please join us at Lucene/Solr Revolution on Thursday, September 14th from 10:50 – 11:30 am in South Seas B at Mandalay B. In addition to providing an informative talk on optimizing site search, we’ll be giving away a pair of Bose headphones to one lucky winner!

Related posts

What is Human-in-the-Loop Machine Learning?

Human-in-the-loop (HITL) is a branch of artificial intelligence that leverages both human and machine intelligence to create machine learning models. In a traditional
Read more

Deciphering AI from Human Generated Text: The Behavioral Approach

One of the most important elements of building a well-functioning AI model is consistent human feedback. When generative AI models are trained by human annotators, they serve
Read more

Data Quality: The Better the Data, the Better the Model

If your data’s not accurate, your model won’t run...properly, that is. While you may end up with a working model, it won’t function the way it was intended. The quality of
Read more

Machine Vision vs. Computer Vision — What’s the Difference?

Artificial Intelligence is an umbrella term that covers several specific technologies. In this post, we will explore machine vision (MV) vs. computer vision (CV). They both
Read more