Session Title: Use search effectively in taxonomies & model your domain in Elasticsearch
Finding matches when using a taxonomy is a common problem. A notable challenge is mapping a user’s query to the entity (or results) expected when searching for an entity inside a catalog mapping. Functional textual search models tend to rely on exact match or partial match, but both can lead to a frustrating experience when users aren’t familiar with the domain. Basic models often fail to support user typos, synonyms, acronyms, and/or hyponyms/hypernyms. Renzo Gambone, from Xmartlabs shares how to tackle these challenges and make search more intuitive when using a taxonomy. This talk covers:
– A case study on how a fashion catalog may be modeled as a taxonomy
– What to account for when modeling a static taxonomy
– How word embeddings can be used as failback – Code examples, including the Elastic index and querying it
Additional Resources:
– Learn more about Elastic Search solutions: https://www.elastic.co/enterprise-search
– Learn more about Elastic Observability solutions: https://www.elastic.co/observability
– Learn more about Elastic Security solutions: https://www.elastic.co/security
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About Elastic
Elastic is the leading platform for search-powered solutions, and we help everyone — organizations, their employees, and their customers — find what they need faster, while keeping applications running smoothly, and protecting against cyber threats. When you tap into the power of Elastic Enterprise Search, Observability, and Security solutions, you’re in good company with brands like Netflix, Uber, Slack, Microsoft, and thousands of others who rely on us to accelerate results that matter.
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Duration: 00:22:24
Publisher: Elastic
You can watch this video also at the source.
