Understanding the Answers Algorithms

Bring a Google-like search experience to all of the places you search. Yext Answers uses natural language understanding powered by deep learning to interpret your customers’ intent and deliver the most relevant search results.
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Build a modern search experience on your site

Google searches huge swaths of data from a variety of sources - the entire web, their famed knowledge graph, and their comprehensive map of the world - in order to provide users the exact answers they’re looking for. There isn't a one-size-fits-all approach that will work for all these types of data. Instead, Google uses different algorithms, all powered by AI and deep learning, to search different data types. Yext Answers takes the exact same approach. See how our results compare to a search on Google:

Google Search

Yext Answers

A multi-algorithm strategy that focuses on natural language

There isn’t a single perfect search algorithm—that’s why Answers has multiple. Rather than keyword-based search, Answers uses a multi-algorithm approach to surface the best results, similar to how the top consumer search engines work.

Search for Structured Data

Answers uses Named Entity Recognition—based on Google's open source machine learning framework BERT—to detect potential filters and show structured results from a Knowledge Graph. This works great for structured entities like products, events, and jobs.

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Search for Structured Data
Search for Semi-Structured Data

Some data, like FAQs and other short-form content, is more loosely structured than location or product data, but it contains rich information. Answers uses Semantic Text Search in these cases. Instead of relying on keywords, we embed both search queries and content from your Knowledge Graph in vector space and use an algorithm to determine the most relevant entities—no synonyms required!

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Search for Semi-Structured Data
Search for Unstructured Documents

Yext Answers is able to search unstructured data to identify the most relevant documents and answers. With Extractive QA, you can search through unstructured content like blog posts, help articles, and product manuals and extract relevant snippets that answer the query posed.

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Search for Unstructured Documents

A commitment to constant innovation

At its core, search is about understanding language. That’s why we’ve leveraged the latest Natural Language Processing (NLP) technology, including Google’s breakthrough machine learning framework BERT. The Answers Algorithms are constantly evolving to provide better results over time, meaning you don’t have to hire your own data scientists and developers to maintain world-class search. Let Answers do the heavy lifting.
A commitment to constant innovation

Yext is a better way to search.

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