Abstract: The current scientific and technical literature network-sharing platforms have a mass of papers, which is difficult for users to get what they really need. We presented a new Rapid collaborative scientific and technical literature push model based on intelligent Agent_ This model adopts Intelligent Agent technology to build the User Agent, Data Transfer Agent,Information Evaluation Agent,Information Analysis Agcnt,Server Monitor Agent and Data Mining Agent, to establish an effective collaborative relationship between clients and servers, provide scientific and technical literalures jointly for each users meeting their needs perfectly. We also proposed a Literature-Readers Matching Assessment Algorithm(LRMAA) , which is to comprehensively consider the subscription information provided by user initiatively,the user's reading history, the objective assessment of literature as well as the literature publishing time, to get the matching vector,resulting in a true and accurate access to the user's research interests and focuses in time to provide users with the most valuable, suitable and high-quality scientific and technical literature information. This paper first analyzed the current network Information Pull and Push methods, and then introduced the Intelligent Agent-based rapid collaborative scientific and technical literature push model, at last, discussed LRMAA in detail about all parameters computing of the vector.

Key words: Scientific and technical literature, Intelligent Agent, Information push, Collaboration