T-LEAF: Taxonomy Learning and EvaluAtion Framework
How we applied qualitative learning, human labeling and machine learning to iteratively develop Airbnb’s Community Support Taxonomy. By: Mia Zhao, Peggy Shao, Maggie Hanson, Peng Wang, Bo Zeng BackgroundTaxonomies are knowledge organization systems used to classify and organize information. Taxonomies use words to describe things — as opposed to numbers or symbols — and hierarchies to group things
Contextualizing Airbnb by Building Knowledge Graph
Imagine you are planning a trip to Los Angeles. The first step is to visit Airbnb.com and search for “Los Angeles.” On the backend, the query “Los Angeles” is translated into a block on the map; available Homes within this block are returned in many pages of search results. Is that enough for you to make your trip plan? As Airbnb moves towards becoming an end-to-end travel platform, it is increasi
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A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
YAGO - Taxonomy of YAGO in RDF/TTL/Turtle - the Datahub
Linked Open Vocabularies (LOV)
Taxonomy Trends
Shopping Sense: Rapid Instance-Level Knowledge Acquisition for Google Maps from Class-Level Common Sense
Europeana Fashion Thesaurus: capturing imagination | Europeana PRO
Textile
https://cordis.europa.eu/docs/projects/cnect/7/297167/080/deliverables/002-EuropeanaFashionDeliverable23EuropeanaFashionThesaurusv1.pdf
Europeana Fashion Thesaurus v17
Expanding Taxonomies with Implicit Edge Semantics (TheWebConf/WWW 2020)
Expanding Taxonomies with Implicit Edge Semantics
GitHub - shabnamsadegh/FashionGraph: FashionGraph: understanding fashion data using scene graph generation [ICPR2020]
ISO 25964 – the international standard for thesauri and interoperability with other vocabularies | NISO website
FashionGraph: understanding fashion data using scene graph generation | Dr. Marc A. Kastner
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories