You could, for a simple example, label a number of these properties yourself, with values. Say you could go rate 1000 of them with a rating out of 10.

Then you could learn the importance for each of these parameters by trying to approximate your rating (regression of some kind).

Alternatively, because labeling a lot of these, and doing so accurately is a non-trivial task, you can look into generating these ratings.

In learning to rank for search for example, you can extract this information from interactions the users have with your items.