Long, long ago, in a search engine far, far away…

July 1st, 2008 by Charles S. Knight
Posted in Top 100 | 2 Comments »


Every month, since before the beginning of AltSearchEngines.com (in fact it led to the creation of AltSearchEngines), I have listed my assessment of the Top 100 Alternative Search Engines.  The best 100 out of the 1,400 that we consider worth tracking. Please note that that means there are about 1,300 good search engines that are not on my list, just in case you think we missed one.  This post will also include the Top 100 search engines according to you, as well as the Top 100 according to all web users.

Along with each month’s Top 100, I also pick one search engine from the list and call it the Search Engine of the Month.  Once again, it’s a purely personal choice.  The other 99 are simply listed alphabetically, they are not ranked.  The other two lists, The Search Race and AltsR.Us, however, are most definitely ranked.

At the end of each calendar year, I finally select one of the Search Engines of the Month and crown it the Search Engine of the Year.  In 2006 it was ChaCha, and last year it was Quintura.  This year we have had five (5)  monthly winners so far, and they are ChaCha (yes, again), EveryZing, Sputtr, Faroo, and SearchMe.

This month, July 2008, I have made an unusual discovery, and this is why I love my job.  This month’s winner is not just a brand new member of the Top 100, but it also cinched the top spot in its first month!

Why?  Is it the next Google killer?  No, as I have discussed, I do not believe that any one search engine can beat Google.

Does it push the Semantic envelope – understand your query in natural language?  Nope.  It’s entirely keyword based.  In fact, it only searches flickr images.  Why, it doesn’t even crawl the web!  Some readers will say that disqualifies it as a true web search engine.  Hard to argue with that.

What about funding?  Has it taken millions of  deutschmarks to create?  Actually it is the work of one graduate student named Steven Wood in Germany.

Is it just because it’s pretty to look at?  Because you can rotate it with your mouse, zoom in and out with your mouse wheel, drill down and zip 235 images many times faster than most image results?  I can only imagine what Search Guru Danny Sullivan would say if he finds out about my choice.

Check out his recent title:  Visual Search the Future? Spare Me The Eye Candy.

Well, to each his own.  If nothing else, all of the Top 100 search engines show us that search can be far more enjoyable and engaging than the old players would have us believe. I often liken my job to working in a jewelry store, surrounded by dozens of different gems, each one of them curious and unique.

I think this month’s Search Engine of the Month, now a contender for Search Engine of the Year, Tag Galaxy (http://www.taggalaxy.de)  (Note: it is not .com) is a shining example of beauty, creativity, functionality, and certainly originality.

Take a minute and try it yourself, and be sure to mouse over, click and drag, go to full screen mode (bottom right), double click on the sun or a planet, grab and spin the image ball (the inside of any sun) - just play with it.

Then go back to Google, Yahoo!, or MSN Live and search for those same 235 images.  I would welcome many comments this month.  The standard Top 100 lists follow after these screenshots.

 From this simple black and white search box…to this…in one click!

Double click on any sun for the images.

Here are the links to the three Top 100 lists mentioned above.  There were very few changes in June.

For the entire Top 100 results of The Search Race, Click Here.

For the entire list of AltR.Us, visit http://AltsR.Us

…and these are the Top 100 according to yours truly!

The Top 100 Alternative Search Engines, July 2008 (.xls)

The Top 100 Alternative Search Engines, July 2008 (.pdf)

Moteurs de recherche

July 1st, 2008 by Charles S. Knight
Posted in Global | 1 Comment »

Un petit message pour dire qu’il y a des alternatives (utiles) à l’hégémonie de Google. Pour faire une recherche sur internet, je trouve le concept du site Quintura remarquable.

Après avoir entré sa recherche, apparaissent d’autres mots pour pourvoir la raffiner. Cliquer sur chaque mot propose une recherche encore plus précise. C’est bien plus efficace que de faire une recherche dans Google, ne pas trouver, en faire une autre, et une autre…

cliquer pour voir toute la fenêtre
Et on peut même ajouter ce moteur de recherche directement dans Firefox en cliquant sur la petite flèche bleue ci-dessous (une fois sur le site de Quintura).

Il y a encore plein d’autres sites pour chercher différemment sur Alt Search Engines.

Source

What is Search 3.0? It’s Search 2.0 with a brain

July 1st, 2008 by Charles S. Knight
Posted in Uncategorized | 1 Comment »

We have been poking around the blogosphere for ideas about what Search 3.0 might look like.  This post examines Nova Spivack’s concept of Web 3.0, which I think we can rephrase as Search 3.0 and still maintain the essential template which is that using decades as the defining demarcation points makes good sense.

He says in a VentureBeat article, “I think we’re on the cusp of it, but the main part of Web 3.0 will be this coming decade. I think of it as the third decade of the web. Web 1.0 was 1990 to 2000, Web 2.0 is probably up to 2010. So Web 3.0 will be 2010 to 2020.”  He illustrates it this way:

Here are two other definitions of “Search 3.0″ by me and by Danny Sullivan.

A few days ago I sketched out my definition of Search 3.0.

It went like this:

Search 1.0 = a linear set of results, like Google’s.

Search 2.0 = 2-D results, like a map or tag cloud.

Search 3.0 = the new 3-D “look,” like SearchMe.

Search 4.0 adds continuous updating, or “time.”

Well, over at Search Engine Land, Danny Sullivan revealed his scheme for Search 3.0. NOTE: To participate in this on-going discussion of Search 3.0 definitions, you really must read his article in its entirety by clicking HERE.

Here is Danny Sullivan’s bare outline:

Search 1.0 (1996): Pages ranked using “on-the-page” criteria

Search 2.0 (1998): Pages ranked using “off-the-page” criteria

Search 3.0 (2007): Vertical search results blended into regular search results

Search 4.0 The Human Factor

“Overall, there’s a role for humans, a way for them to be in the search process to enhance results. Actually, there will be several ways for them to be involved. Exactly how remains to be seen, of course. Of the things I’ve outlined, personalized search, social search, human editors — I think personalized search is the one that will emerge as the major part of Search 4.0. That’s not to discount other things being tried, and they’ll contribute in some ways. But to me, personalized search has the most potential for another big relevancy leap.”

Now you have 3 definitions of Search 3.0 – any thoughts?

Feel free to share your definition of Search 3.0, etc.!

Search for your next vendor with VendorCity

July 1st, 2008 by Charles S. Knight
Posted in Newcomers, News | 1 Comment »

Today is an exciting day for VendorCity.  They have just announced that the VendorCity Beta is officially available to the public!  After 6 months of designing, developing, and testing, anyone in the US who runs a business or works with businesses can now use their online word-of-mouth B2B recommendation site to search for and review vendors.

They have intentionally kept the site simple and easy to use.  At this time, it is not a destination site but a resource to use when you need to find good, high quality vendors that service your area.  As they move forward, they will be adding additional features that are likely to include:
*Private and public groups
*Friends
*Vendor statistics and access
*Enhanced scoring (VendorCity score)

Sign-up now to join VendorCity!

Tastekid – Sistema de recomendación de música

July 1st, 2008 by Charles S. Knight
Posted in Global | No Comments »

TasteKid no es sólo un sistema de recomendación de gustos musicales, guarda también en su base de datos miles de títulos de películas y libros que ofrecerá después de analizar tus gustos.

Lo primero que tendréis que hacer es decirle al sistema algo que os guste: “Enya, Pearl Jam, Britney Spears…“, TasteKid recorrerá su base de datos en búsqueda de nuevos artistas, largometrajes y libros que otros usuarios, con gustos parecidos, hayan destacado como favoritos.

Lo he probado con algunos de mis estilos preferidos y estoy bastante satisfecho con el resultado. Para mejorar a inteligencia de su motor sólo tendréis que entrar en contacto con ellos, comentar los pros y los contras y utlizar el sistema para descubrir sus fallos.

fuente: altsearchengines

Por Juan Diego Polo