Learn about some exciting takeaways from Google's I/O keynote including, multi-modal search, augmented reality, and content generation.

Yext's seasonal releases are always packed with new features and functionality to keep Hitchhikers on the cutting edge of search, and the Spring '22 Release is no different. Across the product suite we have added new features that will help you to drive value and improve your user experience.

BERT, and related transformers, have had a huge impact on the field of Natural Language Processing (NLP). This blog post will discuss some recent research on how and why BERT works and its strengths and weaknesses.

We’re excited to announce the release of Hitchhikers' “Ideas” – where any user with a Hitchhikers account can post new product ideas or upvote any existing ideas submitted by others in the community. The Yext team is looking forward to seeing what you, as a member of our community, come up with and how you can help brands around the world continue to build amazing AI search experiences.

Have you ever thought about what goes into building a search experience? I joined Yext as a Developer Evangelist because I wanted to show developers that there’s an easier way to build search-based applications. This is the first in a multi-part series around building a modern search-based web application with the Yext Platform utilizing data from IMDB.

Yext's seasonal releases are always packed with new features and functionality to keep Hitchhikers on the cutting edge of search, and the Winter '21 Release is no different. Across the product suite, we have added new features that will help you to drive value and improve your user experience.

A good search engine provides the most relevant results for a given query. Here at Yext we think semantic understanding is one of the most foundational components of relevance. This is where Dynamic Reranking comes in. Dynamic Reranking is a part of Yext Answers that uses machine-learning to rerank search results.

Your users’ search analytics provides invaluable customer intelligence, but the volume of data can be overwhelming. Your users can run hundreds, if not thousands, of searches every day! That’s why Yext created Search Term Clusters, a tool that leverages the power of AI to make analyzing trends in search data scalable in your Answers experiences.

Experience training is a feature that allows users to actively train Yext’s machine learning algorithms by providing feedback on their predictions.

Yext gives your organization a platform to help deliver AI search experiences based on natural language. Leveraging AI, Yext organizes your brands’ data and makes the answers accessible for customers, employees, and partners. With the Yext platform you can build AI search solutions for marketing, support, ecomm, workplace, and anything else your developers or administrators can dream up.

Building a great algorithmically-driven product requires a lot of data. You can (and almost certainly must) get some of this data via human labeling, but a great way to really make huge improvements on your algorithms is to get them out in the wild, and measure where they were wrong, so they can be retrained! Learn about what Yext is doing to speed up the virtuous cycle of machine learning.

One of the most important elements behind well-performing site search is NER: Named Entity Recognition. NER is an AI technique that identifies key information in text. At Yext, NER is used to identify all the different entity types (i.e. products, people, places, dates, customer service problems) in a given Yext Answers query. The performance of NER is crucial because based on our NER model’s predictions, we directly search the Yext Knowledge Graph to find the information the query was referencing and serve the most relevant search results.

Learn more about how our new Document Search feature supports your unstructured data!

As a Yext user, you’re likely well aware of the platform’s product suite and the value each solution delivers. But did you know that you can provide even better search results for visitors, collect more reviews from customers, and analyze data more closely by integrating Yext with the apps and systems your team already uses?

See for yourself how the Answers algorithm works on the Understanding the Answers Algorithm site built by our Data Science team!

Shoppers have questions about your products, and your ability to answer will determine if they buy or if they bounce. But with rapid changes to your business, it can be hard to keep your product information consistently up-to-date.

Shoppers have questions about your products, and your ability to answer will determine if they buy or if they bounce. But with rapid changes to your business, it can be hard to keep your product information consistently up-to-date.

Semantic search is a new way of searching for FAQs. Instead of looking at keywords, it measures the similarity in meaning between two questions. Answers does this using BERT - the same revolutionary natural language processing technology that powers other Answers features like location detection and entity recognition.

What’s WCAG? WCAG stands for the Web Content Accessibility Guidelines (WCAG). WCAG is not always black and white; its rules often have a variety of interpretations.

Businesses of all sizes use both WordPress and Yext to build amazing client experiences, and as more and more brands around the world add the Yext Answers bar to their WordPress powered sites, we wanted to provide a way to drive their time-to-value even faster.

Yext Answers is constantly improving it’s search algorithm to provide more relevant results over time. Milky Way is the first official upgrade to the Answers Algorithm and includes a series of important upgrades to provide better search precision and recall.

One of the most common use cases for a search engine is finding something by a "location". Here are some basic examples: Cardiologist near Green Bay, Notary near me, Restaurants open now. These are all pretty simple queries, but getting these to work in a search engine is much more complex than you might imagine.

We know good search drives business impact. It increases conversions and transactions, reduces search bounce rate, and boosts overall customer satisfaction. So, how do we get more people to trust and use site search? We embarked on a study to find this out.

Most brands know that site search is a feature their website should have, but unless the site is dominated by e-commerce, it’s often relegated as a check-the-box task when building a new website.