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@nicolas-delbovier-acsone nicolas-delbovier-acsone commented Sep 17, 2025

This PR introduces a new feature that uses a vectorial approach to calculate the similarity between products. The core idea is to represent each product as a vector in a multidimensional space, where each dimension corresponds to a product characteristic.

By transforming product characteristics into a vector, we

  • Calculate a numerical "distance" between any two products.
  • Use this distance to find and rank the nearest neighbors for a given product.

This feature aims at improving product recommendations

Do not allow to define characteristics for one2many fields as the number of possible values for such fields is typically quite big and they typically do not represent a value that describe the product
Previously, the wizard button was placed inside the header of the tree view which made it appear only once some record was selected inside the list.

The current solution enables to override this behavior of the tree so to make the wizard button appear any time.
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