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HOME • MANAGE SUBSCRIPTIONS • MEDIA KIT
Building a Better Algorithm
by Margaret A. Starvish, Sunday, July 1, 2007, 12:00 AM

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A slew of search startups are trying to improve on how we connect the dots

The three largest search engines, Google, Yahoo and msn, account for the vast majority of U.S. searches, but that hasn't stopped dozens of startups from trying to stake out their own claim to the market.

Venture capitalists also don't appear daunted by the odds. In the first quarter of this year, they've poured nearly $135 million into vertical and social search startups alone, according to Dow Jones VentureOne.

Why? One reason investors are bullish on vertical search firms is that they fill needs not being met by any of the other major search engines. And there appear to be some pretty curious needs out there.

Consider some of the new niche search engines:

Reva Health Network bills itself as "a database for the medical tourism sector" and lets users comparison shop for things like heart transplants and breast reductions on several continents.

Then there's Gloomedia, which is working to create a database, glootv.com, of products from every new episode of the top 60 TV shows. Those products are available for purchase, which means users can dress themselves head to toe in the clothes Oprah wears, and watch her while sitting on the same chair she uses on TV.

For people who spend more time with their Xbox than with their remote control, there's Wazap.com, a games search engine with 84,000 different sources for gaming information that got its start in Japan (where it's the 144th most popular site, according to Alexa) and recently landed $11.9 million in funding.

Social search startups are also clamoring for investor dollars.

Lijit.com, a Colorado-based startup, secured nearly a million dollars in funding from a pool of investors, including a personal investment made by Mobius Capital's Brad Feld. The site, posits "What if searching on the Web worked the way it did in real life?" - essentially through a complex network of personal information gathered from people you trust. Lijit translates this into a technology that "connects the dots" between personal information available on sites like Blogger, MySpace, and del.icio.us.

Baynote bills itself as a pioneer in bringing social search to business. The company's chief technology officer has a Ph.D. in human-computer interaction from Stanford, it got Series B funding from Disney, and customers include eBay. Baynote's technology tracks how users get to a site like Macy's and looks at where they go once they're there - eventually aggregating that data so that when a consumer goes to search for a T-shirt, the search engine automatically knows if he wants one from Hanes or from Calvin Klein. According to marketing and product management director Mike Svatek, this approach has increased sales from 30 percent to 50 percent for their clients. "Our growth rate is extreme," he adds.

Then there are the search engines that are neither vertical nor social. Mahalo, which was launched in late spring by entrepreneur Jason Calacanis, uses actual people instead of algorithms to provide results. "Maholo combines human touch and technology in a way that reduces the search term to an intelligent framework," says former Excite CEO George Bell.

Bell's also a fan of Powerset, the natural language search startup headed by an enthusiastic Barney Pell, who likens searching to breathing and says his technology will help people breathe easier. Powerset is still in development, though Pell hopes to launch soon, and while he's not saying he's looking to compete with Google directly, he did note that "people are afraid to say that their technology could scale that big. We're not afraid to say that."

While Pell remains one of the few people willing to make such a sweeping statement, most believe there's money to be made in the tiny space not occupied by the big engines.

What will the market will look like a year from now? It depends on who you ask.

"I think we'll see the emergence of some very successful vertical search engines," says Indeed.com CEO and co-founder Paul Forster. "There are still a lot of categories of specialized information that people have barely begun to think about indexing and making searchable." Forster also feels all this activity will result in a greater number of viable avenues for search marketing.

Tom Wilde, industry veteran and CEO of EveryZing (formerly PodZinger), a multimedia search engine that can find keywords in videos, is less certain: "Very few [of the new search engines] have a great insight into discovering [and] processing content, making it more usable in a really unique way." Perhaps the most realistic view is that of Spark Capital's Todd Dagres. When asked who he thought would succeed from the multitudes, he responded, "Whoever does a better job building a better algorithm."

1 person recommends this article. 

2 comments on "Building a Better Algorithm"

  1. Lea Ray from Etania TechCom
    commented on: August 02, 2007 at 3:09 AM
    Algorithm, smalgorithim... your mouse trap can be bigger, brighter, more high tech than any mouse trap in the history of all mouse traps, and it all boils down to one fact....Yes, we can lead the mice to the cheese and horses to the water, rub it in their snouts, sprinkle it on their foreheads, and pray that they take a little taste... but it is NOT A FACT THAT THEY WILL. AND THAT... IS A FACT!

    Lea Ray Multi-media specialist with 20+ years experience in traditional and new media. Still waiting for DEXTER – the next digital marketing phenomenon.

  2. Thom Kozik from Viddle Networks
    commented on: August 01, 2007 at 11:08 AM
    Thanks for mentioning us among such distinguished companies - and to clarify one point made in the article, at Wazap, we actually gather data from *hundreds* of thousands of sources - that 84K number was just a snapshot of one moment in time, of the sources we had identified for the US version of the service!

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