Site605 Claims to be Superior to Mahalo

Site605.com (http://www.site605.com/) announced that it is working with highly-qualified volunteer editors (like Wikipedia) along with machine-learning techniques to make available an extensive online informational resource that will serve the top sought-after search phrases. Site605 will have 750,000 such resource pages by end of the year. The company uses algorithmic techniques to create the initial pages, and has human editors fine-tune them and review them for quality.

“With our novel approach, Site605 has already provided resource pages for about 100,000 top search subjects, twice the stated goal of Mahalo,” said Bob Chandra, co-founder of Site605. “While one person can write 10 informational webpages from scratch in a day, one could review and edit 50 pages in that same time. It turns out that computers do a fine job of producing an initial resource pages. Then, people complement the process by reviewing those pages for quality and modifying them acordingly. So this is the introduction of the human-edited Web as opposed to the purely human-authored web seen on Mahalo or machine-authored results you see on Google.”

Today, Site605 previews its service online, displaying resource pages from Earth Day to Eight Belles, displaying relevant links, news items, and blog posts on the various topics. The company relies on volunteers to review the content to ensure quality standards are met.

“The intention is to provide people with an informational resource on a vast array of subjects and to create a model that will scale across hundreds of thousands of search subjects, not just thousands”, says Chandra.

Site605′s algorithmic approach combined with qualified editors utilizes the best of both worlds and pioneers a man-machine hybrid model for intelligent web results. The site differs from Mahalo in that its pages are not meant as encyclopedic information or summaries, but rather as a set of “quicklinks” to learn more about the particular subject. “Bottom line is that the Infinite Monkey Theorem model doesn’t scale,” says Chandra “If you throw more monkeys in the room, just as you’re not likely to get Shakespeare, you won’t get anywhere near the totality of head search queries. Site605 has something better; merging the algorithmic intelligence of Google with the high-quality volunteer efforts of a site like Wikipedia.”

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