Evri: Search Less and Understand More
Tags: Evri, Semantic Technologies, Web 3.0

I often stumble across and receive beta invites from certain Web startups that seems really awesome for some particular reason and immediately find myself wanting to write a review on it, and Evri is one of them now. Evri, currently available in private beta, considered as a Web startup that perform semantic analysis. It is very much similarly to Twine, that offered semantic technology solutions which I have profiled it in May this year on TagEdge.
As stated on Evri’s site, it is a semantic technology Web startup, with a motto “Search less, understand more.” Thus, for one would like to try it and compare it with some top search engines, such as Google and Yahoo! it will be unfair for Evri. On Evri, you won’t find the search bar, and you can’t perform keyword search on Evri. This contrast to Google or Yahoo!, when you type certain keywords, some sites with high-level of SEO (search engine optimization) skill will rank in the first page. I bet that Evri also not allow someone to craft a really killer little campaign, a sort like Google AdWords campaign, that his/her sites will appear in the sidebar as the sponsored link, and when the potential buyers key in the keyword that match the bidded keyword, they will see these sites and pay-per-click for further action. Understandably, Evri is about content tagging, content discovery and compliance, not about keyword search.
Users at Evri might scream, “What type of value that Evri created for its users?” Temporarily, you’ll only see three type of content that are “Most Popular People,” “Most Popular Places,” and “Most Popular Things” on Evri, all are collected and evaluated by Evri before the data presented to all of its users. Meanwhile, I see Barack Obama top the “Most Popular People” at the time of my writing (See the picture below). On each of these three categories, you’ll find the top ten (10) most popular (located in left-hand side) as well as the top ten (10) most change in popularity recently, either rising or falling on the right. In the middle is the data graph, which is the visual circle connections, click on the connections will display the relevant articles for that people/place/thing or that particular connection. You’ll be surprised by the semantic processing that are done in the Evri’s back-end engine, particularly the ways articles that are processed by Evri, so users can find the underlying information about each connection that might interested them at any one stage.
However, I found the content in existence are a target product for the American, as Evri first launched in the U.S., it is imperative that all the content must suit the taste and characteristics of their first target market.



August 7th, 2008 at 5:45 pm
Keywords are weighted such that their top volume day is anchored at 100, and other days are represented as a relative percentage of that search volume.
Just like their Google Trends tool, by default Google Insights for Search defaults to the broad matched version of a keyword, so a word like credit will show more volume than credit cards, even though credit cards gets more search volume (because terms like credit cards and credit reports count as search volume for the word credit). Credit vs credit cards