Show HN: Improving LinkedIn endorsements using graph connections and weights
ratein.io
ratein.io
Endorsements are an idea completely useless for showing that the endorsed person really knows something. I've been endorsed for knowing tools by people who never ever had worked with me on a project, much less have seen me using the tools they say I know.
But, getting a rating (or an endorsement) from a stranger, it won't affect you really (it won't always go +1) as it's based on the person's knowledge about that tool. On the other hand, if the person knows that tool really well (has a good rating), then that's good for you, I guess :-)
Does this make sense?
I've never had an endorsement from a stranger. All the people who are in my contact network are people who I really know.
And even if your comment was about somebody who doesn't know the tool they say I know, my comment (that they usually couldn't tell I know the tool) still stands.
> [...] if the person knows that tool really well (has a good rating), then that's good for you, I guess :-)
> Does this make sense?
If the person knows that tool, it still doesn't tell whether the person has seen me doing anything with the tool. There's just not enough context about the relationship between endorser and endorsee to derive anything meaningful, this is why the very underlying idea is broken beyond repair.
A tool, maybe in your case is a development or design tool, can become a generic skill. It is common to get a rating/review for something that it's not that personal and it can come from a stranger. Maybe we can think about ebay reviews or stackoverflow upvotes.
Although the problem from this point of view remains, it can be a large improvement in general ratings and reviews.
I hope this helps!