I'm Paul, founder of Two Minute Reports.

Running repetitive reports for your business is a tedious task. It's quite a waste of time and efforts. We experienced this ourselves as well. This is the reason why we founded Two Minute Reports.

Basically we are automating all the time consuming tasks regarding reporting and data insights, directly in Google Sheets.

Looking forward to hearing your feedback!

Thank you. Corrected as per your suggestion.

No, its for people who want to send regular reports. Cooking is there because, as a user, you dont need to be in front of the computer to send reports.

You could be doing anything like cooking or driving. Wanted to extend to work-life balance kind of examples and cooking seemed to be a good example.

Since the code of GTP-3 is behind closed doors, can we re-purpose GPT-2, to create a slightly less efficient clone?

What do you look for in a trailler ? Could you describe the process in few words?

>Could you describe the process in few words?

Not really, I wouldn't know how to describe it. I just have an intuition of when a movie is "promising" according to my taste. An intuition that gets better the more trailer and movies I watch.

Exactly, free time is a premium and has to be treasured.

I think a quiz like what you meantioned would be effective. The problem is finding data that could help power such a quiz. Example, a #tag of #sad could be assigned to a movie that's just 20% sad, leading to misuse/misinterpretation. What we may need is a variable-tag metric... But I don't think there is any available data for this yet..

I like these profile based recommendations, but they tend to be black box ones. They miss out on the how I may like a future movie that I have not come across before. I like how nomadlist.com has done it for places. You can easily figure out which place to go, just using their fitlers.

Would a similar filter be useful for movies?

What about multiple metrics, which each can talk about specific aspects of why someone would watch a movie. I could then weigh these metrics as per my preference and choose the movie of my liking. Do you get it?

Sure, you can do that. There are sites doing this, many more did that in the past. Most failed at some point because the amount of work, knowledge and dedication for this to reach a critical mass of uptodate meaningful data is to big to survive longterm.

And in the first place you will be very busy to figure which metrics you want in the first place. You basically need a complete set of them before you even begin for serious, because otherwise you will invalidate all older entries if you add metrics later.

Thinking about, tags are popular today, several media centred-sites are using them to allow a kind of freeform-metric to describe content. Maybe with modern solutions you can do something machine learning-voddoo to extract tags from reviews and generate meaningful metrics for describing impressions of a movie.

You are very right, especially with the challenges in making it successful. Crowd sourcing or Machine Learning are the options I guess, each with its pros and cons.

Yes, that's how most recommendations are being effected. I think we need also an explicit way of communicating our preferences, and getting scores against them. The problem with recommendations is, they are not transparent enough and can fail.

You mean the genre tags, like crime, thriller, etc?

Yes. Things like that, plus the certificate, the mood you're in, the usual reasons for sitting down to some visual presentation. Also, on imdb the scores are incredibly mean average for very popular movies and can vary wildly on the lesser known. If you take a look at a movie you love, and one you hate, you can find a surprisingly short width of score. What this means is that the meaningful scores are 6ish to 8ish. Most popular Movies sit in that area, hence a 6ish in genre you like may actually be rated great by you and an 8ish in genre you dislike might mean you'd appreciate it though not love it.