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May 18, 2010

Nachofoto Is Not Your Real Time Image Search Engine

(* Source: Jennifer Van Grove *)

 

Name: Nachofoto

Quick Pitch: Nachofoto is a real-time image search engine with a focus on trending topics and rising search terms.

Genius Idea: Nachofoto is designed to return the most relevant and recent images for rising search terms, as determined by Google Insights for Search, Google Trends, AOL Hot Searches and Yahoo Buzz.

The site functions just like the search engines you’re already familiar with, but is much more convenient for searches related to widely discussed topics. So a search for “Miss USA” will return images of the newly crowned winner, Rima Fakih, instead of a barrage of older photos that aren’t relevant to yesterday’s pageant.

What makes Nachofoto remarkable is the freshness of its results, which can be seen in the company’s iPad case study. In this example, results for the “iPad” query were impressively timely on launch day, so results before 9:00 A.M showed images of eager Apple customers waiting in line, while searches after 9:00 A.M. highlighted happy iPad owners. As the day progressed, the “iPad” Nachofoto query zeroed in on unboxing photos.

In practice, Nachofoto really delivers when it comes to searches involving dynamic keywords and we recommend it for your current events image searches. Try it out for yourself and share your thoughts in the comments.

 

February 11, 2010

Topsy Becomes An Even More Powerful Alternative To Twitter’s Offical Search Engine

(* Source: Jason Kincaid *)

 


 

Jason says...

If you’ve ever tried to use Twitter Search, you know that it’s got some pretty serious problems. First, the site only lets you search back through a couple weeks of tweets. Even worse, the service doesn’t seem to employ any relevancy algorithm to speak of — you just see the most recent tweets that contain your query’s keywords, regardless of who said them (which oftentimes yields junk and spam). Today Topsy, the startup that views tweets as the currency of the web, is launching a handful of new features that improve on the official Twitter search in almost every way.

Up until now, Topsy has been based entirely around links. When you visited the site, it would prompt you to enter a search query, and then would display a list of links most relevant to whatever you searched for. The links are ranked by the number of times they’ve been retweeted, and also by the influence of the people who have tweeted them;  the site actually keeps track of the number of retweets each user typically gets to establish their overall reputation. Now, Topsy is taking this reputation system and extending it beyond just links, allowing you to search for both photos and tweets that don’t contain links at all.

So what does that mean? Before now, if you ran a search for “Google Buzz”, the site would return links to articles and videos about the new service. Now, it will also surface tweets from influential Twitter users, even if they don’t include a link. That’s important for breaking news when a story may not have already been covered by a publication, or when there’s a tweet that’s important in and of itself (say, Bill Gates’ first tweet). You can view just these tweets using the navigation menu at the top of the screen, and important tweets will also be included in the site’s flagship web search, alongside links and photos (more on that later). You can filter these results by time, sorting by Hour, Day, Week, Month, and All Time (which represents 18 months of data).

This new search functionality for linkless tweets comes with one big caveat — it will only count retweets that use the native Twitter retweet functionality, which has been pretty controversial. Native retweets don’t allow users to append their own comments to a retweet, and they’re still only used around 10% as often as the “old school” retweet functionality. That said, the Topsy team says they will eventually be tracking all retweets, though it may take a while.

The other big addition to the site today is support for photo search. This searches the text of any tweet that contains a link to a photo, and then presents all matching photos in a thumbnail view similar to Google Images (as with links and tweets, these are all ranked according to Topsy’s reputation system). Because these are pulled in in realtime, the results can be more useful and timely than what you’d find on other image search engines. That said, they can also be pretty quirky. For example, I ran a query for “airplane” and got results of a guy hiding his head in a sweatshirt (on an airplane), a photo of an airplane safety manual, and a photo of a guy wearing a banana suit (again, on an airplane). Queries appear to work better if they’re related to a current event. But even if the results aren’t always perfectly on point, you can definitely have a lot of fun with them.

Finally, you can see the top trending items for all three search categories — web, photos, and tweets — in the “Trending” section, which sort of serves as a Digg for Twitter. And, for those who were asking for it, Topsy now supports RSS feeds.

This is a big improvement for Topsy, and I’ll definitely be using it as an alternative to Twitter’s official search. My concern, though, is that Twitter will probably be launching something similar in the future — its own search engine really hasn’t changed in years, and is ripe for an overhaul (especially since it’s now featured on the Twitter homepage). That said, Topsy has its search indexing over 18 months of tweets (search.twitter.com only has around two weeks of content), so that may help differentiate it from whatever Twitter releases.

 

March 23, 2009

New Hitwise Stats Show How Bad Hitwise Data Is

  (* Source: Michael Arrington *)
 

Mike says...

It’s no secret how bad most of the analytics firms are at gathering statistically relevant data about Internet traffic. All of them, Quantcast, Comscore, Hitwise, Compete, Alexa, etc., are flawed in various ways and to various degrees.

But today’s blog post by Hitwise shows just how bad their data really is. They say that Craigslist is now the top searched term on the Internet, taking that honor from MySpace. Facebook is third.

But the real data is out there for the taking. Google Trends shows Google search data, and since Google commands such a large lead in search in most countries, presumably the data is accurate. Google trends shows exactly the opposite data as Hitwise - Facebook is by far the most queried term, followed by MySpace and then Craigslist.

I’m putting my money on Google when it comes to accurate search trends. And if I were Hitwise, I’d make very sure my search data conformed to whatever Google was saying.

 

November 04, 2008

Next Post Previous Post Pump Up Firefox With Juice

(* Source: Jason Kincaid *)

 

 

Jason reports...

Juice, a Firefox browser sidebar developed by Linkool International, has launched to the public. The powerful plugin automatically culls information from around the web whenever you search for or highlight a term, making it a handy reference tool that I could quickly get used to. It also doubles as a media storage tool, allowing you to simply drag and drop videos and image files into the sidebar to save them for later.

Juice pulls from sources including Wikipedia, Google News, YouTube, and our own CrunchBase (through its API) to offer users a quick at-a-glance summary of many popular topics. The sidebar is very polished, allowing for in-line video playback and expandable text summaries, and the media storage function is intuitive.

At this point it seems that the plugin’s database is still fairly small, as many searches (even for such common terms as “Superman”) result in a notice that “Juice has learned a new keyword”. Within a few minutes these new terms are added to the database automatically, and the issue will probably be gone within a few weeks of the public beta.



Juice is the first application from Beijing-based Linkool Labs to integrate the company’s “intelligent discovery engine” which uses “natural language processing” and “a dictionary management system” to produce semantic results. It’s impossible to tell just how much processing is going on behind the scenes, but search results are generally accurate, though it’s possible to find some words that will “trick” the system.

There are a number of Firefox extensions that offer integrated reference lookup, including CoolPreviews, Briteclick, and others that can be found here.

 

October 02, 2008

Google Blogsearch Relaunches as Techmeme Killer

(* Source: Marshall Kirkpatrick *)

 

Gblogsearchlogo-1.jpg

 

In its first major upgrade ever, Google Blogsearch just relaunched and looks radically different. Instead of the blank page look of Google.com, Blogsearch now looks like Google News (but uglier) - with the hottest topics from the blogosphere aggregated on the front page. Readers can drill down in 11 different categories, from technology, business, sports and entertainment. Google says you can use Blogsearch to see what the world is talking about.

The user interface isn't nearly as nice as leading tech blog memetracker Techmeme, but the new Blogsearch has some major advantages.

How it Compares

We're in shock that Google Blogsearch has actually updated. It's cleaner and less spammy than Technorati, it's more transparent than Yahoo Buzz, it's more inclusive than Six Apart's new Blogs.com and to the big question will be whether it's faster than Techmeme. (Techmeme caught this story far faster than the new Google Blogsearch!) That's our concern as a tech site. This has to be entirely new for bloggers who write about television, video games or business. Those sectors have got to be excited.


<a href ="http://answers.polldaddy.com/poll/966824/" >Do you expect to find the new Google Blogsearch useful or interesting?</a> <br/> <span style="font-size:9px;"> (<a href ="http://www.polldaddy.com"> polls</a>)</span>The science blogosphere has Postgenomic, which is so full featured it probably won't lose any traffic at all to Google Blogsearch Science.

 

A Techmeme Killer?

Even in tech, though we may love Techmeme - it's audience is more influential than it is large. The new Google Blogsearch has the potential to reach tens of millions of people and drive insane amounts of traffic.

Techmeme indexes a limited number of tech blogs, primarily blogs linked-to by other blogs that are already indexed. Google Blogsearch, on the other hand, indexes all blog posts faster than anyone else on the web.

Techmeme is a great site and founder Gabe Rivera works hard to update its machinery and functionality regularly. The same iteration strategy can't be assumed for the new Google Blogsearch, in fact it appears that the Google News algorithm has just been applied to blogs. All this may or may not be significant. Rivera offered no response when we contacted him asking for one.

We're excited about the new Google Blogsearch. What do you think? Can you imagine yourself visiting it now?

 

September 24, 2008

Social Mention is Twitter Search for the Whole Social Web

(* Source: Paul Glazowski *)

 

Searching for things through a service that scours multiple engines is one thing. Searching for things through a service that scours certain aspects of the news and social discussion space is another. This is what a new invention called Social Mention allows you to accomplish.

Employing Yahoo’s increasingly noteworthy BOSS search platform, Social Mention, an Ottawa, Canada operation, distinguishes its results by their variety of source. If you’re looking for items to do with, say, today’s official debut of the T-Mobile G1 device, you can specify that the engine find blog posts, microblog posts, bookmarks, comments, events, images, links from social news websites, or videos.

Adding extra flavor to the mix is an asset labeled “Hot Conversations.” Everything deemed of the moment is listed, though these are not specific a category. If you search for the abovementioned handheld, and transition from left to right through the available tabs, the picks in the right-hand column stay largely the same.

 

 

Everything seems to work without much trouble at all. While it’s a bit difficult to gauge for relevance for links, at least given our brief test of it, the delivery of information is pretty much how you’d expect it to appear. Yet, you’re likely to notice the length of time it takes for the engine to provide information, both from the start and through successive moves to all sections of the results page. A 5-second wait time is what I sense is the average to see results. Not terribly extensive, but noticeable for sure. Keep in mind, if one aspect is cached, the time spent twiddling thumbs is less. Images and videos, meanwhile, may take longer to display.  This is in part due to its aggregation of material from sources like Twitter, FriendFeed, Delicious, Flickr, Reddit, Digg, YouTube, and coComment, as well as the many blogs that inhabit the Web.

What has me most excited about Social Mention is its take on keywords and how they are used in the blog world, the new media space, and conversations had in numerous places. Companies and organizations undoubtedly find it valuable to track mention of their names, brands and products to register trends, pinpoint troubles, and generally involve themselves more in the chatter, as they have been known to do in a venue like Twitter. Social Mention simply broadens the scope. Its speed could be improved, but to begin with, its quite an admirable piece of kit.

 

February 18, 2008

Poor People More Likely Use Yahoo, Those Better Off To Use Google

(* Source: Duncan Riley *) 

 

hitwise1.jpg

 

 

 

 

 

 

 

 

 




New data released by Hitwise yesterday shows that there is a socio-economic difference between those frequently using Yahoo and those more frequently using Google.

The graph right demonstrates “Online Representation” based on demographic types. The Y axis represents Yahoo, the X axis Google, with the higher the number, the more that particular group of users uses each service. Yahoo is strong in “struggling societies,” “blue collar backbone,” and “remote America,” where as Google obtains higher use in “small town contentment,” “affluent suburbia,” and “upscale America.” The size of each circle represents how many in each group have spent $500+ online.

The differences between the groups aren’t great, but the results do go some way in explaining the Yahoo conundrum. Although a distance second in search, Yahoo has remained the number one traffic destination online ahead of Google, so you’d think with more traffic Yahoo would convert that traffic into similar returns to Google. But alas we know that not to be the case, and that would appear in part to be related to people using Yahoo not spending as much online and being in poorer demographic categories than Google users, providing a lower return per user.

Update: unlike some of the class warriors in our comments, just to reiterate: these figures are not exclusive, ie: lower demographics use Google as well and higher demographics use Yahoo, it simply points out that according to Hitwise there is a weight either way among users of both services. That is an interesting split, both when considering yields per user on each site, and in a broader sense which services appeal to these different groups. There’s nothing discriminatory is pointing out data from a third party, and those suggesting this is some sort of class based conspiracy from TC say more about themselves than this post. All data is good if it helps us understand markets and in this case the user base on two of the largest internet companies there