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A comment on Ask HN: What kind of scoring algorithms exist?. Parent comment
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.
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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.