Monday, February 20, 2006
About Us:
"Gravee: Our Vision - Community Powered Search
We know what you're thinking: "Another search engine?!?"
But Gravee is much more than just another search engine or social bookmarking service.
Search engines have become the de facto content distribution channel for the Internet. Yet, unlike any other distribution industry (offline or online), many search engines do not view their suppliers (i.e. content owners) as true partners, nor do they view their search users (i.e. content consumers) as customers. Instead, this arms length relationship between many search engines and their communities has created angst for content owners as to how to best reach their consumers, as well as for how consumers can best provide feedback back to the original creators of that content. This disconnect between content producers and the consumers of that content prevents the creation of a virtuous cycle of feedback, which ultimately prevents all of us from creating and enjoying better and more valuable content on the Web.
Our mission is to:
* Treat content creators as true partners in the search and distribution process
* Treat content consumers and search users as valued customers
* Create an equitable and transparent distribution channel for content owners
* Create a more responsive and transparent feedback mechanism for content creators and their consumers
* Enable a "virtuous cycle" of content creation and consumption on the Web that connects content owners more directly to their consumers
How We Are Different
Gravee is different in two very important ways: our business model and our algorithm. And, those differences are focused squarely on how we can better serve our community of users.
And, there are two halves to that community we're talking about: 1) the content creators and Web site owners, who are creating most of the value in the search advertising equation; and 2) our search users, who find, bookmark, tag, and vote on that content through our search engine.
A Different Business Model
Keyword search advertising has grown to become an $8+ billion industry. And, while the underlying asset being monetized by search advertising is the content in the index (a.k.a. natural search results), the Web site owners who allow search engines to index that content still aren't sharing in any of that value that's created - until now. That's why we created the AdShare program - a more fair and equitable model for search and content distribution on the Web that compensates Web site owners, content creators, and online businesses that appear in search results alongside paid ads.
The Gravee AdShare program fundamentally changes the economic model for search advertising. Instead of search engines reaping all the profit from advertising (which is made possible in the first place by the existence of natural search results), Gravee shares up to 70% of all ad revenue with natural search results that appear on the same page when an ad click occurs, as well as with the Web sites that send users to Gravee who then clicked on ads.
In short, we believe that the value (read: money) created in search advertising must flow in all directions. Not just to us (i.e. the search engine), but also to the content owners appearing in natural search results who are helping to create that value in the first place, as well as our partners and affiliates that send traffic to our search engine by putting a Gravee search box on their sites.
A Different Search Algorithm
Many search engines would have you believe that their algorithms yield the best and most relevant results. However, if you compare each of their search results, they are sometimes drastically different. How could this be? How could each one of them be the best (or the most relevant)? If each claims to have the best algorithm, wouldn't they eventually come to the same conclusion? Or, at least come close?
There is a blind spot in many of today's search algorithms. They are based on an a priori model of the world, which assumes that certain known variables correlate highly with intangible values consistently and perpetually. For example, many search engines assume links to a particular page or site are the ultimate arbitrators of relevancy. This works sometimes, but not all the time. As a result, some of today's search engines are great at evaluating major, past events that have already reverberated throughout the Web, but not so good at evaluating relevancy of the actual content (or any Web site, really) if it is relatively new, or lacks a high concentration of links pointing to it (or other "historical" measures). Simply put, many of today's search engines overvalue the past while undervaluing the future, and the contributions of user input into the relevance equation.
Algorithms alone are unable to predict the relevancy of new content the way that people can.
Gravee is different. Our TagScore system takes inputs from humans and machines (including other search engines), rather than solely from only one closed, proprietary algorithm for determining the relevancy of a particular search result. An algorithm like Gravee's TagScore system, that takes inputs from humans as well as machines, can better keep up with the lightning speed at which content is being generated on the Web today. A more collaborative, contributory, and open approach can better serve the needs of both searchers and content owners alike..."
"Gravee: Our Vision - Community Powered Search
We know what you're thinking: "Another search engine?!?"
But Gravee is much more than just another search engine or social bookmarking service.
Search engines have become the de facto content distribution channel for the Internet. Yet, unlike any other distribution industry (offline or online), many search engines do not view their suppliers (i.e. content owners) as true partners, nor do they view their search users (i.e. content consumers) as customers. Instead, this arms length relationship between many search engines and their communities has created angst for content owners as to how to best reach their consumers, as well as for how consumers can best provide feedback back to the original creators of that content. This disconnect between content producers and the consumers of that content prevents the creation of a virtuous cycle of feedback, which ultimately prevents all of us from creating and enjoying better and more valuable content on the Web.
Our mission is to:
* Treat content creators as true partners in the search and distribution process
* Treat content consumers and search users as valued customers
* Create an equitable and transparent distribution channel for content owners
* Create a more responsive and transparent feedback mechanism for content creators and their consumers
* Enable a "virtuous cycle" of content creation and consumption on the Web that connects content owners more directly to their consumers
How We Are Different
Gravee is different in two very important ways: our business model and our algorithm. And, those differences are focused squarely on how we can better serve our community of users.
And, there are two halves to that community we're talking about: 1) the content creators and Web site owners, who are creating most of the value in the search advertising equation; and 2) our search users, who find, bookmark, tag, and vote on that content through our search engine.
A Different Business Model
Keyword search advertising has grown to become an $8+ billion industry. And, while the underlying asset being monetized by search advertising is the content in the index (a.k.a. natural search results), the Web site owners who allow search engines to index that content still aren't sharing in any of that value that's created - until now. That's why we created the AdShare program - a more fair and equitable model for search and content distribution on the Web that compensates Web site owners, content creators, and online businesses that appear in search results alongside paid ads.
The Gravee AdShare program fundamentally changes the economic model for search advertising. Instead of search engines reaping all the profit from advertising (which is made possible in the first place by the existence of natural search results), Gravee shares up to 70% of all ad revenue with natural search results that appear on the same page when an ad click occurs, as well as with the Web sites that send users to Gravee who then clicked on ads.
In short, we believe that the value (read: money) created in search advertising must flow in all directions. Not just to us (i.e. the search engine), but also to the content owners appearing in natural search results who are helping to create that value in the first place, as well as our partners and affiliates that send traffic to our search engine by putting a Gravee search box on their sites.
A Different Search Algorithm
Many search engines would have you believe that their algorithms yield the best and most relevant results. However, if you compare each of their search results, they are sometimes drastically different. How could this be? How could each one of them be the best (or the most relevant)? If each claims to have the best algorithm, wouldn't they eventually come to the same conclusion? Or, at least come close?
There is a blind spot in many of today's search algorithms. They are based on an a priori model of the world, which assumes that certain known variables correlate highly with intangible values consistently and perpetually. For example, many search engines assume links to a particular page or site are the ultimate arbitrators of relevancy. This works sometimes, but not all the time. As a result, some of today's search engines are great at evaluating major, past events that have already reverberated throughout the Web, but not so good at evaluating relevancy of the actual content (or any Web site, really) if it is relatively new, or lacks a high concentration of links pointing to it (or other "historical" measures). Simply put, many of today's search engines overvalue the past while undervaluing the future, and the contributions of user input into the relevance equation.
Algorithms alone are unable to predict the relevancy of new content the way that people can.
Gravee is different. Our TagScore system takes inputs from humans and machines (including other search engines), rather than solely from only one closed, proprietary algorithm for determining the relevancy of a particular search result. An algorithm like Gravee's TagScore system, that takes inputs from humans as well as machines, can better keep up with the lightning speed at which content is being generated on the Web today. A more collaborative, contributory, and open approach can better serve the needs of both searchers and content owners alike..."
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