Real-time Search for Communication on Website

Today the number of the Internet users has exceeded 1 billion and many of these users prefer to use the Internet to get information or order items. Although users can often retrieve the intended information or service, an important component that remains missing is human to human interaction. Previous research has been conducted to ensure interactivity between users browsing the same website. However, a significant challenge remains due to the fact that it is difficult to find other users because they are dispersed over the more than 100 million websites currently present in the World Wide Web (WWW). In this paper, I suggest a search engine, Comi-Ruba which reflects the number of users who are watching a website in realtime. With Comi-Ruba, it is possible for users to search for websites which other users are watching. Results from an experimental evaluation show how this system allows users to activate chats on websites by finding other users who are watching the same website simultaneously.