An open source and better Search Engine

Search Engines are difficult subjects to talk about there are multiple experts and there are multiple vendors from Microsoft, Yahoo, Google, Cuil and there are newer innovations like Cosmix -Blended Search and there are Wiki Search (Including the Digg bar and same features introduced in Google now). Content itself has exploded from websites in 1999 to websites, blog posts, RSS feeds, tweets, Facebook profiles, online communities, voice, podcast and video. Quantitative measures to measure, index and rank the new types of content require that the algorithms behind search be made open source but with strict creative commons licensing and using third party developers to create search algorithm extensions.

This idea seems difficulty to implement but it has been there and done before. No one creates Palo Alto like research labs anymore- all scientist and researchers have to first sign away copy"catrights before beginning their research.

The year 2009 is different from the year 1999, and PageRank is no longer a maths based algol- it is a marketing brand. Time for the Stanford dropouts to go back to school and get some more math and some less marketing (and less pranks on Wolfram please) in their search engine. And Paul Allen who created the building in Stanford where the Google algol was first thought, he needs to spend some Bills and venture fund a new wave of innovation in search engines. Is this wishful thinking? Maybe. I just need a better search engine than Google right now.- Perhaps Herr Schmidt take some time from viewing mountains in Mountain View and measure customer satisfaction instead of just measuring market share in non competitive and likely to face anti trust scrutiny in US and Europe very soon. So better give some of the ranking algol features open so all websites implement the SEO tactics magically revealed and create a better world wide web- thus negating the information asymmetry in a closed source search engine.

Author: Ajay Ohri

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