How could you improve the user experience of a website by leveraging the social network of the user? One way is to identify what his/her friends have been viewing and recommend that to him/her. The same applies to advertising on a publisher site. Using the idea that birds of the same feather flock together, you might want to display ads to a user based on what ads his/her friends have responded positively to.
The SGQS is a graph query engine that has a real time interface. The real time interface responds instantaenously to social network type questions. Here are some questions that can be answered quickly.
- which ads did friends of this user click on?
- give me the email addresses of this user's top ranked friends
- what is the importance score for this user?
Such a query engine can be used by publishers with online communities, consumer facing web2.0 companies and even call centers.
- Support for common development languages php, Java, .NET when collocation is used for highest performance.
- Rest-based web services also available for over-the-web integration.
- Scalable and fault tolerant
- Customizable score values for each node
Benefits
- Personalize and tailor the consumer experience for each user, increasing stickiness and loyalty.
