By Heather Coombes
Most people now use the internet for all their information needs. Despite the hugely popular algorithm based searches, there is still a significant need for social search methods. Websites are ranked constantly and everyone wants theirs to be at the top. This takes a lot of work and only the best sites with outstanding content will rank highly. Many people do not realise that quality content is the best way to keep their site at the top of the searches is to provide their visitors with great content that is relevant to the original search.
Using an alternative search approach has been around for quite some time. In fact, from the very earliest days of the internet people have used different methods to find the information they are looking for. In a social context the searching focuses on the interests of the individual. They have the ability to really refine their searches.
Social searches differ from usual searches in that they are much more focused. The visitor is looking for high quality information or people with similar interests. Their networks can help to promote sites that unusual or dealing with a niche that has few experts. By launching a specific and very refined search visitors can often find very unusual information.
Searching for social sites can involve many different sources. They are all connected at some level and use human feedback to generate rankings. Popular methods include tags, news articles and images. The individual element is what sets it apart from the usual machine generated results.
The results of a human generated search method are quite different. They help to reduce spam, one of the most frustrating aspects of the internet. Trying to find very specialized information can be very frustrating, as the visitor has to wade through literally thousands of possible sites. Having a human network of on line friends to help can save a tremendous amount of time.
Using social methods of searching can save a lot of time. It is the perfect way to establish a reliable set of contacts. It allows the user to surround themselves with a trusted set of Cyber friends who can help to find whatever they are looking for. A site ranked by humans, rather than machines, can usually be relied upon to deliver quality content.
Despite the many advantages to human social media recommendations, there are also some disadvantages which will ultimately prevent them from taking priority on the web. The biggest problem is that human generated rankings are just too slow for a computer dominated world. New sites and content are being added so fast that it is impossible for people alone to keep up.
People will always try to beat the established searching methods. Everyone must understand the the pro's and con's of the internet and factor this into the way they track down any information they need. Social search methods can be extremely valuable and have been successfully used for many years. They may never surpass the speed and efficiency of machine generated searches but they can help to maintain some much needed balance within the ever growing on line community.
Using an alternative search approach has been around for quite some time. In fact, from the very earliest days of the internet people have used different methods to find the information they are looking for. In a social context the searching focuses on the interests of the individual. They have the ability to really refine their searches.
Social searches differ from usual searches in that they are much more focused. The visitor is looking for high quality information or people with similar interests. Their networks can help to promote sites that unusual or dealing with a niche that has few experts. By launching a specific and very refined search visitors can often find very unusual information.
Searching for social sites can involve many different sources. They are all connected at some level and use human feedback to generate rankings. Popular methods include tags, news articles and images. The individual element is what sets it apart from the usual machine generated results.
The results of a human generated search method are quite different. They help to reduce spam, one of the most frustrating aspects of the internet. Trying to find very specialized information can be very frustrating, as the visitor has to wade through literally thousands of possible sites. Having a human network of on line friends to help can save a tremendous amount of time.
Using social methods of searching can save a lot of time. It is the perfect way to establish a reliable set of contacts. It allows the user to surround themselves with a trusted set of Cyber friends who can help to find whatever they are looking for. A site ranked by humans, rather than machines, can usually be relied upon to deliver quality content.
Despite the many advantages to human social media recommendations, there are also some disadvantages which will ultimately prevent them from taking priority on the web. The biggest problem is that human generated rankings are just too slow for a computer dominated world. New sites and content are being added so fast that it is impossible for people alone to keep up.
People will always try to beat the established searching methods. Everyone must understand the the pro's and con's of the internet and factor this into the way they track down any information they need. Social search methods can be extremely valuable and have been successfully used for many years. They may never surpass the speed and efficiency of machine generated searches but they can help to maintain some much needed balance within the ever growing on line community.
About the Author:
A social search on the Web can be very helpful in making decisions about products and services. Click on Consumer Product Review to see some of our comprehensive information at http://villij.com/activity now.