You may feel relatively satisfied with the current search offerings of Google, Yahoo, Ask and MSN. Search today is undoubtedly much better than what it was in the second half of the 1990’s. But Internet search is still in its infancy and there’s much room for improvement. Moreover, the super high valuation of Google on NASDAQ pushes investors and researchers to find better search solutions – to be The Next Big Thing. And these wannabes are not only working on discovering better indexing techniques, they’re exploring new horizons like vertical engines, meaning-based search, intent-driven search, new clustering methods, and much more.
Read Search 2.0 – What Next? from the Read/Write Web. Also from R/W: Retrevo – What Vertical Search Will Become, ChaCha: A Human-Powered Search Engine, Coull.tv and The Holy Grail of Searching Within Videos, Search 2.0 vs Traditional Search, and Hakia – First Meaning-based Search Engine
According to Wales, conventional search-engine ranking algorithms lack the efficacy of human intervention. “Essentially, if you consider one of the basic tasks of a search engine, it is to make a decision: ‘this page is good, this page sucks’,” says Wales, “Computers are notoriously bad at making such judgments, so algorithmic search has to go about it in a roundabout way.” Wales also complains about poor results from mainstream search engines, commenting: “Google is very good at many types of search, but in many instances it produces nothing but spam and useless crap.”
Read Wikipedia founder to create user-driven search engine from Ars Technica and Searching for human-like search from ZDNet
More on the future of search from SearchEngineWatch, the BBC, C|Net (on the importance of relevance), John Battelle (author of The Search: Business and Culture in the Age of Google), Bob Caswell (on search customization) and a thorough linklist of search engines from the Online Education Database.
Update.1.7.07: AI Favored Search 2.0 Solution from the Read/Write Web