The Evolution of Social Searching (TWERQ Hive)
As online searching evolves many industry experts are speculating that algorithmic search is beginning to see the end of its days. The new web (Web 2.0) is founded on user interaction and involvement in not only receiving information on the web but in helping to create that content. This has been done in video, “print“, and various other forms of online media. Why can’t it be done in search? Well, it can - and TWERQ is on the front lines.
It is safe to say that algorithmic search results (ie. results generated by an automated system) will never go away. The web will always be too large for every site to be indexed and graded for relevancy by people, there simply isn’t enough manpower for that. That does not mean, however, that human involvement in search results is impossible.
The secret of social search is to combine algorithmic search with human-edited results - and that is exactly what TWERQ is doing.
Introducing Hive
TWERQ Hive is the ultimate combination of manpower and algorithm working together to create the most relevant results on the web.
The TWERQ Hive is people working together in real-time to find and share relevant results. Users collaborate relevant information they find to what is called a “Hive List”. This Hive List is a collection of various forms of information such as web results, images, rss feeds, stories and videos. This allows everyone to collectively find what they are looking for faster. It also helps people who search for the same information in the future.
Ranking of Hived results is determined based on hive activity and user feedback, both assisted by a unique scoring algorithm. Participation features of the hive are opt-in only. If you do not wish to collaborate anything you can take on more of a spectator role an watch relevant information appears before you eyes as it is collaborated.
Get Involved with Hive
The cornerstone of social search is user involvement. The next time you do a search on TWERQ, take a second to participate in Hive. Tag relevant or irrelevant results and help other searchers find the best information fast and efficiently. It’s easy to learn and takes very little time and work on your part.
By supporting Hive you’re not only helping TWERQ grow, but you’re a part of the ongoing evolution of search technology - specifically social searching.
Matt Coddington
August 5th, 2007 at 4:13 pm
I’m still in full support of you hear Wes, I see no problems with using the TWERQ search bar on facebook!