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ML is not that good at predicting consumers' choices

statmodeling.stat.columbia.edu

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Re: ML is not that good at predicting consumers' choices

#11

Post by pid_0 »

cj wrote: post #3

While not exactly aligned to the research, I've been surprised how poor Nest Thermostat's learning feature is. The main selling point for Nest is having a "learning thermostat". Perhaps my schedule is just not predictable enough, but the auto-generated temperature schedules it generates after its "learning" period is not even close to what I would manually set up on a normal thermostat. Maybe I'm just an "edge case"…

Nest is a terrible product. The learning aspect did not work at all and their app always takes forever to refresh. I switched to ecobee and couldn’t be happier. HomeKit and home assistant integration without hassle. Google products are generally quite terrible.

Re: ML is not that good at predicting consumers' choices

#13

Post by runnerup »

cj wrote: post #3

While not exactly aligned to the research, I've been surprised how poor Nest Thermostat's learning feature is. The main selling point for Nest is having a "learning thermostat". Perhaps my schedule is just not predictable enough, but the auto-generated temperature schedules it generates after its "learning" period is not even close to what I would manually set up on a normal thermostat. Maybe I'm just an "edge case"…

I also hate how Nest only let me download at most 7 days of "historical" data. They have the rest of my historical data, but I can't get a copy of my own data.

Re: ML is not that good at predicting consumers' choices

#14

Post by oxfordmale »

It is the same on Netflix. I have phases where I watch a certain genre for a few weeks and then move on. For example after a few Scandi crime series it is time for something else. However, at the same time my daughter loves Animé and pretty only watch that. It is really hard for an ML algorithm to grab these nuances.

Re: ML is not that good at predicting consumers' choices

#15

Post by sdoering »

cj wrote: post #3

While not exactly aligned to the research, I've been surprised how poor Nest Thermostat's learning feature is. The main selling point for Nest is having a "learning thermostat". Perhaps my schedule is just not predictable enough, but the auto-generated temperature schedules it generates after its "learning" period is not even close to what I would manually set up on a normal thermostat. Maybe I'm just an "edge case"…

The same for me when I am looking for very specific terms and search engines think the know better and autocorrect me.

Having to make an additional click because I receive something I have never searched for is unnerving.

Re: ML is not that good at predicting consumers' choices

#16

Post by kayodelycaon »

cj wrote: post #3

While not exactly aligned to the research, I've been surprised how poor Nest Thermostat's learning feature is. The main selling point for Nest is having a "learning thermostat". Perhaps my schedule is just not predictable enough, but the auto-generated temperature schedules it generates after its "learning" period is not even close to what I would manually set up on a normal thermostat. Maybe I'm just an "edge case"…

Things like this are exactly why I went with less "intelligent" smart thermostat. (Honeywell T9)

The only learning feature it has is figuring out how long it takes to heat or cool the house given the current weather. Before a schedule change, can heat or cool the house so it hits next target temperature on time. This seems to work extremely well.

Everything else like schedule and away settings are configured by the user.

Once nice feature is it is fully programmable from the thermostat, without internet. You only need the app for setting a geofence for automatic home/away.

Re: ML is not that good at predicting consumers' choices

#17

Post by rvz »

So this machine learning and deep learning hype has shown that it is a gimmick isn't it? After years of surveilling, collecting and training on user data it still doesn't work or gets attacked very easily over spoilt pixels and many other attacks?

What a complete waste of time, money and CO2 being burned up in the data centers.

Re: ML is not that good at predicting consumers' choices

#20

Post by [deleted] »

cj wrote: post #3

While not exactly aligned to the research, I've been surprised how poor Nest Thermostat's learning feature is. The main selling point for Nest is having a "learning thermostat". Perhaps my schedule is just not predictable enough, but the auto-generated temperature schedules it generates after its "learning" period is not even close to what I would manually set up on a normal thermostat. Maybe I'm just an "edge case"…

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