Make every answer count towards a relevant
shortlist

Use your own product properties to decide what fits. Separate requirements from preferences and rank the remaining products by relevance.

What you can do

Create rules for each answer using fields from the linked dataset, such as terrain, capacity or material. Give questions an appropriate weight.

Use a hard filter when a product must meet a condition. For example, exclude non-waterproof shoes when waterproofing is essential.

Use matching scores and boosts for preferences. A lighter product can rank higher without excluding other suitable choices.

Test answer combinations, inspect the score breakdown and show useful match reasons on the recommendations. Adjust rules when a result is unexpected.

A shopper walks in the forest, needs waterproof shoes and prefers a lighter pair. Those answers should influence the result in different ways.

Score for forest terrain Connect the forest answer to terrain = forest. Products with that property receive matching points.
Require waterproofing For the essential-waterproof answer, use a hard filter on waterproof = true. Other products leave the shortlist.
Prefer a lighter pair Add a boost for the preferred weight range. Test the ordering and give the rules clear reason labels.