A Semantic Feed Reader
CES is killing me.
I subscribe to forty feeds. Most of them are social media or technology blogs, and every single one of them feels the need to help spread the word on the latest gadgets on display.
In the past two days, I’ve accumulated fifty nine posts about the Palm Pre. It’s a great phone, and I was very excited to read the first post. But that’s all I needed. The other fifty eight were, by and large, a waste of my time.
This is an extreme example, but it’s a problem I face constantly. Because all of the blogsI read report on similar industries, there is a good deal of overlap between them. It’s a problem, however, with a seemingly simple solution: a semantic feed reader.
There are a number of attempts to solve this problem, but they’re all overthinking it. Voting systems and other attempts at socializing the system are unnecessary - all that’s needed is keyword matching. After I read an article on a particular product or topic, all articles that come in within the next day or two on the same topic are filed away in a ‘more info’ archive, sorted by keyword.
This isn’t to say it would be an easy product to build, but far more complex semantic systems exist, so why not this one?
Please, somebody, build me a semantic feed reader!
