As Wilson and I are working on this project, we'd love to hear your thoughts!
I wonder if you could make a video of how an individual could use it effectively in a pragmatic sense e.g. networking, research
(after more playing around I get the UX, very powerful indeed)
(feedback: add some controls for filtering (dates etc), relevancy, color islands slightly, just general UX improvements and I would probably pay a few dollars a month for this)
(feedback: when looking at a user, you have to zoom really far in before results start appearing. it should probably show labels/results if less than X amount of data points are in your viewport.)
(feedback: Is there "Explore more users" section the more related users to the current profile? It would seem so, but not immediately clear. And if it is, none of my related users have me as a related user in their profile.
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This is really inspiring work, hats off!
How can that map be used to determine who is knowledgeable about what? Looking up myself, I can't connect what I see with my own areas of knowledge.
I think I need an ELI5 for this. Again, this isn't a criticism of the effort at all, it's a public admission of my own ignorance.
To be fair.. you can’t. Unless you think that mentioning specific words or phrases associated with a specific topic a high number of times means that you’re knowledgeable at it.
Then you encode a search query the same way and return the nearest N vectors/users. That's vector search.
It seems they did the above for HN comments.
We'd love to hear your feedback as you play with it more and we improve all of the above.
I'll admit, I am a generalist, and I comment more than I post, but I would have thought/hoped my knowledge base would trend towards neurotech, sleep, mental health, health, wellness, etc, as I feel that is the "less general" stuff I comment on.
Though I recognize this is how I like to see myself, I do often comment on business models, branding, etc etc, which are areas I have interest in.
I wonder if topics that have more activity from a user, but are in a less popular topic area would improve this?
I'm not sure how you surface the more nuanced understanding of each users knowledge or interests.
The few things I'm thinking are 1) more weight to more recent content than earlier. We change and grow as people. I used to be in the music industry, then 3d mapping, and now neurotech. My music experience is now old, but neuro is fresh. That may be more interesting/valuable.
2) commonality with the viewing user. Where do we overlap, and again, where do we overlap where others don't? How often would a person be searching for someone whom they don't have overlap with? We are likely interested in the same things. Though perhaps somebody who knows nothing about marketing, is looking for marketing help, so I'm not sure how you surface that.
I guess I'm wondering what you imagine the ultimate use case being? Or the early adopter use case. You may be prioritizing the algorithm for uses I'm not expecting.
It would be nice if map showed titles of all articles on extreme close up.
Overall it's interesting tool but I think for people with small amount of comments this is not much informative.
Could you share some info about how you generated the 2D space embedding/visualization?