Real Time Search and Its Roots in Social Networking
Social networks have taken off on a massive scale. With the rise of social networks a new search engine algorithm needs to be developed that is able to scour through the massive amount of data generated on a minute by minute basis. Traditional search engines (such as Google) have limited capabilities when it comes to scouring the internet for updated information. Companies have to submit their sites so that they are found and then Google indexes the site depending on the amount of relevant material that references the site (a vague explanation – but an explanation none the less). This is not really considered real time search as the information is built upon over the course of the website’s life.
Google have long been the masters of traditional search methodology as it relates to the internet. The company wants to expand its horizons to offer support for real time search – that is the ability to catch relevant information that is specific to any niche the second it is posted somewhere on the web. Although problems arise from this – keywords are important but how do we know if the keywords that are relevant to the information that is caught is from a trusted or authoritative source? Well, this is one of the problems that Google is working on.
One method that they have talked about using is to couple the data with the person who has written it – for instance, if the person who has written the data has a high volume of friends or visitors to their profile (as it pertains to social networking) then there is a good chance that the information is going to be somewhat important or relevant. Although, this is a bit of a bandaid fix and while it may work for traditional search over the long term, it may still lead to a high volume of spam data – Google have many more tricks up their sleeve when it comes to real time search but only time will tell how it will work.