274 karma · joined November 18, 2010
In any case, I think the right interpretation is that more people are comfortable with reporting their sexuality truthfully and people are more open towards exploring their sexuality.
If there was only some way to aggregate such blogs and rate them with respect to quality and expertise level... that would be a platform I would use. Sites like dev.to go a step in that direction but there is also so much bad content on there.
Are any of these personal knowledge base solutions offering link prediction as a feature to alleviate this problem?
Also, will you release your method as code?
Every meeting started with five minutes of writing on post-it notes how the contents of the chapter related to us (6-10 people in each meeting). Each person then put their post-it notes on a whiteboard. We had several categories to put the notes into (like "good"/"bad"/"how to apply"). This encourages people to read as they need to actively participate and contribute in the discussion. However, this book is not for everyone, some will definitely find it boring and dry. I think it is more fun the deeper you are involved in data related issues.
The end of the meeting consisted of us summarizing the results to see if people were experiencing the topic similarly. We had several stakeholders in the reading group and they were from different siloes in the enterprise. It was nice to see that a lot of the experience was shared and there was general agreement regarding feedback.
One memorable takeaway was the realization that we needed a data dictionary. That eventually led to a pilot project.
It can be a nice exercise to read through it with a group at your company. Have people relate to what is stated in the book to create actionable goals.
I would love personalized recommendations as well (something that a person working at a book store could perform). That is, you've read and liked A, B and C, have you also read D? Or something like: "You've read many books by author X, he just released a new book".
In that regard, I would also like to know the sequences of books that people read to get involved in a given topic. What are the books to enter a field? What books should you read after you've dipped your toes in?
I'm developing algorithms for these kind of tasks. Get in touch if you want to discuss it.
If prices were unique you could deduce something from a few items bought together though.
In the business of advertisements the user pays for clicks. However, it would be much more reliable for the user to pay for ads that led to actual transactions instead of just clicks.
Is there some reason for why this hasn't happened so far? (Or has it already happened?)
That approach is a promising way to make it easier to navigate the latent space as changes in one dimension will have a reduced or no influence on other aspects of the data encoded.
Here is a nice overview on disentanglement with further references: https://paperswithcode.com/method/beta-vae
I hypothesise that many games make people feel miserable in the long term. Especially games that include addictive elements or mind-numbing grinds.
Is anyone building a (crowdsourced) fact checker to validate these kinds of claims that I could install as a browser extension?
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I do not expect an entity such as Facebook to behave in any other way.
From Facebook's perspective, the current value system is possibly distorted, for example, because of a lack of competition. Suppose another social platform would enter the picture, and users would flock to that platform because it has a greater social responsibility. In that case, it might become Facebook's best interest to be more socially responsible as well.
However, that has not happened yet. It is making me believe that the burden to solve this issue is with regulators, not Facebook.