Facebook’s Internal Search Engine – Introducing ‘Graph Search’
For those of you who have been following our blog, you will know that just over a month ago, Tamar’s CEO, Tanya Goodin, predicted that Facebook would unveil its own search engine.
Yesterday, at the social network’s Menlo Park headquarters, Mark Zuckerberg, the founder and CEO of Facebook, announced ‘Graph Search’ – an intuitive internal search engine that allows users to browse their connections using specific queries.
For example, if a user was to search “restaurants in London that my friends like”, he/she would receive results showing just that. Furthermore, these results would be ranked in accordance to interaction, i.e. friends that you have a closer connection with will rank higher than “acquaintances”.
Similarly, if a user was to search “photos my friends took in New York City”, he/she would receive results showing just that – only this time, photos would be ranked by the number of ‘likes’ it has received as well the user’s closeness with the person who snapped it.
Zuckerberg has emphasised that for now, Graph Search will concentrate on people, photos, places and interests. Places, in particular, will certainly offer value for local, independent businesses (such as cafés) that are yearning for a level playing field to compete with their corporate counterparts.
Perhaps the most intriguing feature of Facebook’s latest innovation is the fact that if no relevant results are found, Microsoft’s Bing will step in to offer results using its default web search. Of course, this will have implications for Google (and Google+), which will be of significance to SEO’s – something which we will discuss in a supplementary post.