esflow

Video I recorded for the team, might be useful for someone.

That's why I'm wondering how to score it. If I give too much weight to the surface it won't make sense definitely. So at the beginning surface and price were the most important so then I had a lot of really big and cheap apartments from suburbs as first results, which didn't make sense, then I introduced rating based on district and few other parameters and it improved rating a lot but still, it's not good enough. I will check this Utility, thanks.

Thanks, sounds interesting, I will check it.

Rank based on apartment data, like surface, district, price, year of construction, number of rooms, etc. So based on it to rate apartment, in the end, to sort it from the best to worst :)

Yes, there are several thousand apartments. Based on what to cluster them?

Thanks a lot, I will try it and test how well it works.

But even in the same neighborhood super well-furnished apartment and shell apartment will have very different prices per square foot. Also depending on construction year price per square can greatly differ.

At this moment how I do it: The initial score is 0, based on year of construction (newer is better ofc) I add 0-36 points, amount of square meters I multiply by 0.5 and add it as extra points, based on how prestigious is the district I add extra 0-4 points and there are many other things.

So why it's not possible like that to give score to each apartment? I mean if I find right weight for each parameter? How f.e. google rates websites, I guess it gives some kind of score to each of them? Or not?

Thanks, I will check it out!