Move Over Google

With Web 2.0 comes social searching, a type of search engine that determines the relevance of search results by considering the interactions or contributions of users. Social searching takes many forms, ranging from simple shared bookmarks or tagging of content with descriptive labels to more sophisticated approaches that combine human intelligence with computer algorithms. One search engine that has impressed me to no ends is ChaCha. Why?

Using ChaCha's Search with a Guide feature, your query is sent to a real person who is skilled at finding information on the internet and knowledgable on the subject at hand so that you get the few exact results you want, not the millions of results you don't. The more ChaCha is used, the "smarter" and "faster" ChaCha becomes. Indexing all the questions that are asked and associating them with the search engines and resources used by Guides, and the links visited by the users, ChaCha knows where to look and what the best human-approved resources are for each question or topic. Indeed, this kind of searching and type of search engine poses an interesting challenge to our friends at Google. How reliable are the guides? Here's where ChaCha is creative:

The primary reason is that we pay them and their pay is directly related to their performance. At the end of every session, you can select between one and five stars to rate their performance. While we expect you to be honest when rating a Guide, ChaCha can also detect any needlessly malicious ratings.

Welcome to Search 2.0, which uses third-generation search technologies designed to combine the scalability of existing internet search engines with new and improved relevancy models. User preferences + collaboration + collective intelligence + a rich user experience = Search 2.0.