Similarity Search in Practice
Generation possibilities for semantic product templates within a structured product catalog
- 64 pages
- 3 hours of reading
The thesis presents a novel template generation algorithm that enhances the Goliath organic product catalog by introducing analysis steps to assess both structural and semantic aspects of product data. It enables the grouping of products by semantic similarity and defines a format for product description templates. Utilizing Greedy algorithms, the work details the extraction of these templates, aimed at streamlining product creation. Ultimately, it outlines a comprehensive template generation process and offers recommendations for its application in distributed environments.
