Web seeking by means of social search engines is similar to the concept of the SEO concept. The results however combine human intelligence and the computer's algorithms in finding websites that have higher rankings. When one is seeking social recommendation that is used by users of friend networks, then these are the ones that will be visible first.
Such results could take the form of tags on photographs or shared bookmarks that will mark an article or a website for others to see. Once that has happened, anyone that carries out a hunt on a tagged website will see that website first before other websites that carry similar references are found. This means that a simple website hunt will take into account the popularity of the site. Therefore; the more people that comment or tag or bookmark a site, the more visible it will be.
On the other hand, when a friend or family member has developed a website, the circle of interaction surrounding this person will use the website and view it depending on the services offered. It has become a good marketing gimmick because once a website has been viewed by interconnected people, and then other interconnected people will view it. Methods of identification include book marking a site, or placing a tag or comment to the site.
This had very much to do with website ranking that would optimize the search and it would encourage interaction between like-minded people and begin conversations that would make websites even more visible. The benefits of such a methodology were many such as the possibility that this method could reduce linked spam. Also, when someone sought a website, it would show the most current and new sites first in order to ensure that the user had access to it.
Additional advertising of one's website would be inevitable due to the popularity based on the users that touched them. As the users connected to webpages, the more current it is the more prominent it would be. In terms of the risks, there are some concerns around using this method of searching.
The results of the search would have increased relevance because it had been identified by other users. Quality assessment on engines and websites was possible because the utilization would give an indication if the users thought that a site was effective or ineffective. Webmasters would have additional feedback from users and their website links would be placed on various socio-networks.
It seems to be an advantageous arrangement to provide visibility and better rankings for websites. If a person has developed a website, his friends or family will link up to that website to see or share knowledge. It works both ways for these engines, so that the best sites are available to all users.
consumer products guides that are most used by people who are interconnected will have priority rankings in engines. While interconnected people will have access to the same content to enable knowledge sharing which is particularly effective in a learning environment such as a college or a university. Social search engines may be the next step in differentiating between old and worn website pages that are no longer relevant and new, current and popular websites which are meant to streamline the process.
Such results could take the form of tags on photographs or shared bookmarks that will mark an article or a website for others to see. Once that has happened, anyone that carries out a hunt on a tagged website will see that website first before other websites that carry similar references are found. This means that a simple website hunt will take into account the popularity of the site. Therefore; the more people that comment or tag or bookmark a site, the more visible it will be.
On the other hand, when a friend or family member has developed a website, the circle of interaction surrounding this person will use the website and view it depending on the services offered. It has become a good marketing gimmick because once a website has been viewed by interconnected people, and then other interconnected people will view it. Methods of identification include book marking a site, or placing a tag or comment to the site.
This had very much to do with website ranking that would optimize the search and it would encourage interaction between like-minded people and begin conversations that would make websites even more visible. The benefits of such a methodology were many such as the possibility that this method could reduce linked spam. Also, when someone sought a website, it would show the most current and new sites first in order to ensure that the user had access to it.
Additional advertising of one's website would be inevitable due to the popularity based on the users that touched them. As the users connected to webpages, the more current it is the more prominent it would be. In terms of the risks, there are some concerns around using this method of searching.
The results of the search would have increased relevance because it had been identified by other users. Quality assessment on engines and websites was possible because the utilization would give an indication if the users thought that a site was effective or ineffective. Webmasters would have additional feedback from users and their website links would be placed on various socio-networks.
It seems to be an advantageous arrangement to provide visibility and better rankings for websites. If a person has developed a website, his friends or family will link up to that website to see or share knowledge. It works both ways for these engines, so that the best sites are available to all users.
consumer products guides that are most used by people who are interconnected will have priority rankings in engines. While interconnected people will have access to the same content to enable knowledge sharing which is particularly effective in a learning environment such as a college or a university. Social search engines may be the next step in differentiating between old and worn website pages that are no longer relevant and new, current and popular websites which are meant to streamline the process.
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