Social Search

A social search can be defined as the process of searching and retrieving user-generated content such as images, videos, news bytes and other related queries on social media platforms such as Instagram, Facebook, Flickr, Twitter, LinkedIn and so on. It can be rightly touted as an enhanced version of the traditional web search technology that operates on conventional algorithms.

What is a social search

As opposed to the traditional web search that works by producing search results purely on the basis of semantic impressions between the user query and the resulting pages, social search combines the human element and also takes into consideration the social relationship of the user and the search result. To put it in simpler words, a social search will generate results that also account for parameters such as your immediate social interactions to ensure that the user gets a more personalized search experience relevant to his/her tastes and preferences. For instance, if you make a social search on an employment website such as LinkedIn, the results that you get will also take into account your schooling, your college education, your place of employment, your social groups and such to ensure that the results match with the parameters that you are actually looking for.

How social search works?

In a typical web search that employs the traditional algorithmic ranking model, the search engines establish the relevance of a particular website by making an analysis of the pages’ content and then linking it to the query submitted. On the other hand, a social search works by exploring and retrieving content that has a history of being retrieved by users who belong to the same social graph as the person currently making the query. The social search technology employs the use of online community filtering in a bid to produce highly personalized search results according to the needs of the user. That being said, these search results are then added and saved to the database of community results to further enhance the retrievability of that specific keyword in the future searches as well.

In essence, social search operates on the principle that a search result achieved through human networking is likely to be of higher relevance to a user as compared to the traditional web search that incorporates computerized algorithms for generating the results. There are a number of social search engines that work purely on online community networking. Some of the most popular social search engines include Yahoo’s MyWeb2.0, Anoox, Rollyo, Sproose, Eurekster, and Google Coop.