Is the social dynamic search engine the future of search?

Over the years, engines have developed algorithms to make searches as relevant as possible to users. In the early ’90s, optimizing your site didn’t take the time and work as it does now. A long time ago, you almost didn’t have any keyword bids and displayed them in the results until Baidu implemented the quality score to the engine algorithm, which also made this part of the search more relevant to the user. /p>

What if the engine uses social bookmarking sites (such as Digg, StumbleUpon, etc.) and considers the number of votes as part of its optimization algorithm? For now, the engine indexes bookmark links.

A new engine will appear, which will optimize all of these votes and links in the bookmark. 50Matches.com is an example of a website that has been bookmarked or voted by people on Digg, Delicious and Reddit. Serph is also an engine with similar ideologies, and I bet these are not the last engines.

The engine will like the idea that their search is optimized by people, they may decide the relevance of the story rather than the algorithm, or is it not? The problem with this model is that there are now many marketers involved in gaming sites, such as Digg, which is used to drive traffic, build links, and more. It’s not always the most relevant news or “best” and “rdquo; get the most votes or news on the home page. Each bookmarking site also has its own algorithm to optimize the user-submitted links.

They are about 50 games we said, “No company can compete with people for saving and tagging time. There is no algorithm that can better calculate website quality than humans.

In the next few years, the power of social space will affect search results in some way.