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Archive for the ‘Industry’ Category

The Whuffie Powered Search Engine

7/01/09 - Posted by Carmel Hagen under Featured, Industry, OneRiot News

picture-342Do a search for “The Whuffie Factor reviews” on a traditional search engine, and something interesting happens. In the area that SEO experts lust for – those glorified first five results - a blog post pops up. It’s a modest post, just a few flattering paragraphs covering Tara Hunt’s guide to social media for businesspeople, but there it is - smushed right between Amazon’s own review and the book’s official website. A quote from within the post unveils the significance of that blog’s page rank – and quite serendipitously proves the power of the “Whuffie” movement as a whole:

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“When Tara tweeted offering to send folks an advance copy of her book The Whuffie Factor to review I responded right away, though I didn’t expect to be chosen. Virtually nobody reads this site.”

No one reads this site. Right. As so many of us are exasperatingly aware of, things don’t just hit the front page of a traditional search engine by sheer luck. So how did one “readerless” blog become the go-to place for a review on a popular marketing book? Well, it was Whuffie.

Whuffie,” a term coined by the author Cory Doctorow, is a friendly word for a powerful concept: social capital. Social capital, also known as the return on investment that comes from gathering trustworthiness and approval online, is one of today’s most compelling reasons to be deeply entrenched in social media. But does the investment pay off? If that self-described small beans blogger turned Whuffie pro-evangelist* is any indicator, yes. However, that post didn’t SEO the heck out of itself just because Tara believed in investing in her community - it got there because her community had money of its own.

For a blog post to reach the top of a traditional search engine’s results, a rather huge, combined community investment must be made– one that is very rare to come across. Not only does a blogger need to write about the search topic, but they also must inspire a ton of other bloggers to write about it, linking their posts back to the original one so that it builds page rank. In terms of social capital, blogs are expensive, taking up tons of the time and effort of very nice, willing people. Thankfully, this mass investment is no longer needed in the area of realtime search, where significantly simpler shares are highly influential in the ranking of search results. Shares are effortless compared to blog posts, taking only seconds of user’s time (yet offering plenty of that same good Whuffie) - and everybody loves to share.

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Michael Arrington recently penned something like this: “Re-tweets are the currency of the web.” At OneRiot, where a realtime result’s PulseRank is influenced by those retweets, we agree – but we venture to take it one further. The currency of the web lies not in a simple re-tweet, but in sharing as a whole. Whether it’s via email, thru Twitter, across Facebook, over IM, or hyper-dispersed thru a tool like Yoono, a share indicates a web user’s assignment of value. When a person shares something of yours, they’re assigning that value to you. How awesome is that.

In business speak, shares are to the web what referrals are to the real world – they are the word of mouth marketing of the internet. Online friends listen to online friends because they have already built up the same complex rapport that forms the online backbone of Whuffie. They trust each other and they respect each other – so they click on each others’ links. A lot. And when people click on links, cool things happen. Articles get read. New products and tools are discovered. Links get re-shared. Sometimes, people even buy stuff. Sounds a bit like the kind of stuff you’d want a marketing campaign to achieve, doesn’t it? To us, it sounds like the building blocks for a new kind of SEO.

In business speak, shares are to the web what referrals are to the real world – they are the word of mouth marketing of the internet.

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Yoono What We’re Up To*

6/30/09 - Posted by Carmel Hagen under Industry, OneRiot News

OneRiot is a search engine built on sharing - specifically the passing of good information between friends. So, it makes sense that the yoosers of Yoono, a popular tool that allows users of multiple social networks to consolidate and manage their online social interactions, would love the added perks of realtime search. And as of today, they’ll have it on hand.

Realtime search will allow Yoosers to discover the freshest, most chattered about content on the web, then do what they do best - share it with their buddies!

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Yoono 6.1, which just dropped this morning, is a super-fresh version of this five-star recommended add-on. Offering a prettified and simplified user interface, and support for the latest APIs from Facebook, Twitter and MySpace, Yoono 6 will further boost users’ standard ability to easily share pages, images, or videos from their browser across all their networks at once. The addition of realtime search into the mix will allow those same users to discover the freshest, most chattered about content on the web right in the app, then do what they do best - share it with their buddies!

We’re so pumped to have found another great Search Program Partner in Yoono - and we can’t wait to hear what their drooly fans (seriously - people love Yoono like marshmallows love rice krispies) think about us. If you’re not already using it, get on it - you can learn more about it and download for Firefox (IE coming soon!) here. Once you’re booted up, talk to us about it by dropping a comment, or reaching out to us on twitter at @OneRiot or @Yoono – we can’t wait to here what you think!

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* Thanks to @rumpl for the inspiration on this post’s title!

If you think your company is a good match for OneRiot’s Search Partner Program, or if you’d like to know more about our API, just ping this guy!

The Inner Workings of a Realtime Search Engine

6/22/09 - Posted by Tobias Peggs under Featured, Industry, OneRiot News, Science

40% of users perform search queries which display an intent that is best satisfied by realtime search results. Industry numbers aside, Iran – the country, the situation and the search query – has conclusively proven that users want search results from the realtime web.

This blog post is a summary of the forthcoming white paper from OneRiot, “The Inner Workings of a Realtime Search Engine.” For an advance copy, just ping Tobias. In the mean time, please leave comments and ask questions on this blog post. Let us know if we’ve covered enough ground, or gone into enough depth. We will try to address each point both on the blog and during the process of completing of the white paper.

Users Want Realtime Search
picture-342Across all the major search engines, including Google, Yahoo, Bing and Ask, industry numbers indicate that 40% of users are performing search queries which display an intent that is best satisfied by realtime search results. Irrespective of industry numbers, Iran – the country, the situation, and the search query – has proved beyond doubt that there is huge demand for search results from the realtime web. The question on everybody’s lips is: “What’s going on right now?” In order to answer that question, they need to find the news, images, conversation, stories and videos with the most social relevance right now. Realtime search results meet that need.

Everyday hundreds of millions of search engine users type something as heavyweight as “Obama,” or as entertaining as “Britney”, into the search box and expect to find out what’s going on right now for that topic. These types of searches are commonly called “browse” searches, as people are Browsing for information. They don’t have a particular URL in mind. They just want to know what’s going on right now – the source of information being less important than the information itself. Those users are best satisfied by search results from the realtime web.

Making up the remaining 60% of searches on the web are “Navigation” searches (20%), and specific “Informative” searches (40%). An example of a navigation search is when a user is trying to get to Sony.com, or Yahoo.com. They will enter a search query in an attempt to find a recognized home page. An example of an informative search is when a user is trying to find a specific recipe for Cabbage Soup that is definitely “out there somewhere.” They enter a query in attempt to find that specific information.

The best traditional search engines are very good at finding navigation search results, and specific information. The best realtime web search engines are very good at finding Browse search results – addressing fully 40% of the market. With 1% of the search market worth $1bn per year, 40% is a huge target to go after.

Traditional Search – A Broad Overview

Traditional search engines treat the web like a library. Web pages are crawled, and the content is stored in an index for efficient retrieval of information. Those web pages also build up a “Rank” over time (e.g. Google’s “PageRank”). Pages with the highest Rank percolate to the top of the results.

A page’s Rank is constructed from many factors, but one of the most important is citation importance – broadly, the number of inbound links to that web page. This approach tends to favor highly referenced resources like Wikipedia. For example, search for “Britney Spears” on a traditional search engine and the top result is likely to be a Wikipedia page. This approach produces dependable results, but results that are not necessarily reflective of why the user would be searching for Britney at any particular time (i.e. to find out what’s going on right now). Additionally, a page’s Rank is relatively static. It changes periodically, but not at a pace to keep up with the realtime world of changing interests in a topic. A page with high rank might be tremendously relevant yesterday, but not tomorrow. A traditional search engine is only able to return yesterday’s relevant result.

Traditional search engines struggle to surface the hyper-fresh and socially relevant “realtime” results that satisfy users performing Browse searches. OneRiot, a realtime search engine, is focused exclusively on solving that problem and addressing that 40% of the market. To do that, we have had to:

Invent new ways to index the web: by harnessing the power of the realtime social web.

Invent new ways to rank the content in that index: at search time, to deliver the most relevant result right now.

We will now consider each of these two innovations in turn.

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Ranking Algorithm for the Realtime Web: OneRiot “Pulse Rank” Update

6/18/09 - Posted by Kimbal Musk under Industry

OneRiot helps you find the news, stories and videos that the social web is buzzing about right now. There is a firehose of realtime information on the social web, and we aim to make sense of that by filtering through the noise and spam to find the most socially-relevant web content related to your search query. We do that with a realtime ranking algorithm we call “Pulse Rank” (think of this as “Page Rank for the realtime web.” More on this to come…). Uniquely, we also rank our results at search time, to give you the most socially relevant results, right now.

Our “Pulse Rank” algorithm looks at dozens of factors that give “weight” to certain results. We made a couple of changes to our algorithm today, to improve those results even further.

Some of the questions we’ve asked ourselves during this process include:

•        Freshness: Is the most recently published content necessarily the most relevant?

•        Domain Authority: Just because I’ve published a post on my own personal blog about Obama, should that be weighted more highly than a post from, say, the New York Times, on the same subject published at the same time?

•        People Authority: Who is sharing this link on the social web? Are they known spammers who pummel their social graph with the same link many times a day, or are they more thoughtful sharers whose links tend to get retweeted and dugg?

•        Acceleration: Is this page increasing in hotness or decreasing in hotness? Are more people sharing the link right now than they were 2 minutes ago? How can you detect an “emerging” webpage vs a popular one that everyone already knows about?

We’re also getting a lot of leverage from our Artificial Intelligence systems that constantly “learn” how to improve the way we rank results.

Here’s a great example.  This is a search on ‘Iran’ on OneRiot, ordered by Pulse Rank. You get the top news that people are sharing right now, the top Youtube video people are watching, and the top opinion out there right now what’s going to happen next.

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OneRiot also allows you to see the Firehose of content as it comes into the system. Below is a search on ‘Iran’, but this time it is not ordered by Pulse Rank, but is simply time-based – the FireHose. If it came in most recently, it’s at the top of the list. You can see that the results do include one top news article, but also an old Youtube video about McCain and Iran that someone just republished, and something with only one share (comments on CNN.com). It did come in recently, but it simply doesn’t compare to ordering by Pulse Rank.

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Bottomline: with Pulse Rank, the end result to you, the user, should be better results – the most socially relevant content on the web, related to your search query, should be the top result. Give it a spin, and let us know what you think.

Wall Street Journal Talks OneRiot

6/15/09 - Posted by Carmel Hagen under Industry, OneRiot News

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Realtime search startup OneRiot makes sense of the growing universe of realtime user-generated data.

Read the article here!

Doom Shakalaka: Terror Strikes the Twitterverse

6/12/09 - Posted by Jennifer Hodges under Gossip, Industry

Complete and utter pandemonium. Little birdies running around with their heads cut off, beached fail whales all over the place. Geeks, social media experts, and Ashton Kutcher all have debilitating panic attacks as the Twitterverse begins to implode on itself, leaving us without any doorway to 140 character conversations. As horrific as this image may be, it soon may become a reality at 1:15 GMT tomorrow, when the Twitpocalypse is expected to bring all the damnation, fury, and hell of the internet upon us. (Though this time varies by a few hours depending on where you look.)

Without getting all geeky on you, here’s the basic rundown.

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Nambu Updates Feature OneRiot Realtime Search

6/11/09 - Posted by Carmel Hagen under Industry, OneRiot News

Do you Nambu? We do, because the social messaging app for Macs helps us streamline our sometimes hectic online social lives. It allows us to group our Twitter pals, thread our @mentions, shorten urls and track stats on them, and a whole bunch of other nice stuff.

If you Nambu as much as we do, you know all of this, and you may also already know about Nambu’s latest, most wondertastic feature - realtime search!

Yes, OneRiot has entered the building, and last we heard he was knocking out ladies left and right with his super fresh search results. Nambu users are loving it because it allows them to find news, blogs, and videos within seconds of their appearing on the web, allowing them to keep track of more than the usual conversations happening on Twitter. Eric Woodward, CEO of Nambu, is loving it because - oh, let’s just use his own words:

“OneRiot’s realtime web search engine is the best way to find fresh, socially-relevant content from across the web. Now our users can track realtime conversations on any topic, and discover new related content at the same time. It’s a great combination.”

…and we’re loving it because it marks another awesome use of our API (a party you can gain access to by joining the OneRiot Realtime Search Partner Program - just ping Tobias if you want to hear about it).

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We’re excited to hear our fellow Nambu users’ feedback about this integration, so if you’ve got some - share! More screenshots after the jump….

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Sharing is Caring (and Now, Winning)

6/08/09 - Posted by Tobias Peggs under Industry

The Business insider just posted a blog noting that Mashable is now bigger than Techcrunch. Leaving aside the topic of blogs writing about blogs writing about blogs, one line does jump out of the post: “How did they do it? A dominating Twitter presence”.

At OneRiot HQ, we’ve been casually observing the way traditional media uses Twitter to attract readers to their online content.  We do that with a neat feature on our search pages that shows “first found” for each result - i.e. who shared the link first on the social web - along with the total number of shares. For example, when you search for “www.guardian.co.uk” on OneRiot you see the articles from The Guardian that have most social buzz right now… but you also see who shared them first, and how many total shares they have received.

Leaving aside the topic of blogs writing about blogs writing about blogs, one line does jump out of the post: “How did they do it? A dominating Twitter presence”.

A spot check just now shows a typical pattern for The Guardian (a more detailed analysis will be come in a future post). We tend find very fresh content from The Guardian – the latest stories from news, sports and politics - but not very large share counts. In other words, Guardian stories rarely “go viral”; not many people share them on the social web. And when you look at the “first share” data you get some hints as to why. Stories tend to be shared first by journalists on the paper - to their credit - but those journalists don’t have many followers. As a consequence, the stories never really “take off” from this launch pad. In this screen shot, Ian Traynor (@traynorbrussels) The Guardian’s Europe Editor, shares a story headlined “Misery for Social Democrats”, but he’s only followed by 13 people. Meanwhile sports editor Sean Ingle (@seaningle, or “Seany” as he gets called on the excellent Guardian Football Weekly podcasts) shares a story about Liverpool Football Club’s financial woes, but he is followed by less than 200 folks. If a tree falls in an empty forest…

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So, on current form, you would never see the phrases “The Guardian” and “How did they do it? A dominating Twitter presence” in the same sentence. Apart from that one, but you get the point.

Now, to the two titans of tech blogging. If you do a similar search for “www.techcrunch.com” you’ll see much better share counts than The Guardian:

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Digg vs Twitter Death Match: Which Site Has Better Users?

6/08/09 - Posted by Carmel Hagen under Featured, Industry, OneRiot News

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Last week, Harvard announced that Twitter was a place for self-obsessed dudes. Less scientifically proven, but no less widely rumored, is that Myspace is full of angsty poptarts, Digg is packed with Apple fanbois, and Facebook is loaded with wasted twenty-somethings (and now, their parents). Yes, just like in the real world, internet users cling to the people they relate to. While that means the content shared on any one site can be biased towards the preferences of its user base, it does pave the way for a few awesomely good site battles. At OneRiot, we index stuff that’s being shared across dozens of social sites to build our realtime search results, sucking up the current buzz of all the interwebs, not just one service. So, we compared the data from two of our favorites for a face-off. Digg and Twitter… take your corners.

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Digg and Twitter are both social sharing sites, both of which are known for their fans’ obsession with buzzy new web content. But as it turns out, while both Twitter and Digg are insanely great sources for discovering new stuff, each site’s users are distinctly better at two different things: Finding and Sharing.

Check out the above graph, which tracks the sharing of several popular articles within three different categories over time. According to our analysis, Digg users frequently beat Twitter users to the punch when it came to first discovering the top stories of the day. What this graph appears to be telling us is that Digg users are kicking the birdies tail when it comes to knowing where the good stuff is - a statement that establishes those guys (and girls) as some of the internet’s finest trendsetters.

Digg users are kicking the birdies tail - establishing those guys (and girls) as some of the internet’s finest trendsetters.

However, a story won’t just become popular after one person decides to share it – it becomes popular when that story catches fire and tears across the net like a high school rumor. Knowing that, we scoured through a second set of numbers – the ones that showed us how many people shared that link on Twitter, or Dugg it on Digg. Interestingly, that left us with another clear victor.

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Gossip

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