A knowledge recommendation algorithm based on content syndication in social network community

Effective knowledge sharing is one of the most important objectives of knowledge management. Nowadays, since the supply and demand of knowledge sharing in social network do not match, users have to spend a lot of time to search for different kinds of knowledge. In order to improve the efficiency and accuracy of finding knowledge through search engine, we propose a knowledge recommendation algorithm. The algorithm is defined in a content syndication based knowledge sharing network, in which the users' relations and their search history are considered. Finally, a case study is provided to show the application value of the given algorithm.