When a user retrieves information, the user generally uses search engines or social communication services on the web. The advantage of the search engine such as google and yahoo are high speed search and large coverage. On the other hand, the advantage of the communication service such as SNS can provide high quality information by communication through acquaintances or unknown persons, but it takes long time than search engines. However, next generation retrieval service that has both those advantages not yet exist.

We propose next generation search technology by using hyper link and user communication link. The novel search technology comes true high speed search, large coverage and high quality search. Our proposed algorithm of page ranking is based on not only hyper links but also live user links that are based on the number of access users on a same page. By using proposed algorithm, user can access the most popular web page at current time, and, he can ask directly other live access users some questions such as unknown keyword on the result page and a related url through the same page. Furthermore, each link in all pages can show the number of live access users, and the user can ask more people because of accessing deep pages.

Our proposed rank algorithm is based on two link structures. One is virtual hyper link structure such as PageRank and HITS, and the other one is real user link structure. The real user link structure is built by links which are between a page and users. Each page has the value of UPRank (UserPageRank), and each value is split equally evenly based on the number of hyper link and user link.