I read a great blog post: Google Digg-Style Experiment
Google Experimental is currently running an experiment that allows some selected users to “influence [the] search experience by adding, moving, and removing search results.”
This is very intriguing. SEO is a moving target for both content authors and service providers. Optimization and placement improvement is certainly part of the older, but highly utilized web-use paradigm. This approach by google takes one step in the right direction. Integrating content from users, in the form of feedback, is valuable. The real goldmine is a mashup away.
What if user-feedback was indexed against a users social network? Perhaps two networks… direct connections, and those with similar interests/jobs. (Note: target ad content could be implemented at the same time). Anyway, SEO would likely undergo a massive transformation. Instead of a single index, information would be tailored to the individual yet shared across a community. Focusing search engine results on the individual makes search relevancy go way up. How do you optimize? Reach out to a community with good content!
How would results be handled when there is no reference within the individual’s profile? The search engine would lookup someone within their social network or, say, an expert in the field. Search results would then be returned according to those lists.
In addition, ranking weight would be based on the persons profile. If I change a SERP for web strategy, it should be considered differently then trout fishing (I don’t fish;-)
0 Responses to “One step closer to a perfect Search Engine: User feedback + Social Networks”