Product categorization with machine learning

Why product categorization

• physical stores have labels -> so should online stores
• easier search for users - better discoverability
• higher conversions for online stores
• categories on webpages are better signals for search engine algorithms -> better SERPs
• pages aggregating products in category -> more webpages for indexing by search engines -> more visitors

Taxonomies

• For general texts -> IAB taxonomy
• For e-commerce texts -> Google Taxonomy (3+ Tiers, 1000+ categories)
• Another taxonomy for e-commerce texts, like products is Facebook taxonomy

Machine learning models for product categorization

• Support Vector Machines
• Logistic Regression
• Recurrent Neural Nets
• Transformer models

Vectorization of texts (needed for ML)

• Bag of Words (BOW)
• TF-IDF
• Word2Vec
• Glove
• Sentence embeddings
• BERT

Free tools for product categorization

• https://www.productcategorization.com/
  
• for product tagging: https://www.producttagging.io/
  
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