10. The method as claimed in claim 1 , wherein each of said plurality of correlative research documents has a respective basic information form, said respective basic information form listing a plurality of authors, and the step of recommending research information further comprises the steps of: searching for said plurality of authors of a corresponding research document respectively, on said internet, to get a plurality of research publications corresponding to each of said plurality of authors and a respective cited-times of each of said research publications as well and to derive a respective research capability index of each of said plurality of authors, and recommending at least one of said authors based on said respective research capability index of each of said plurality of authors.
1. A method, carried out by a computer, for recommending research information news, said method comprising the steps of: collecting data, comprising the steps of: inputting at least one retrieval condition for determining a specific research field, and collecting a plurality of correlative research documents, on an internet, based on said at least one retrieval condition, wherein each of said plurality of correlative research documents has a respective publishing timing and a plurality of linguistic units; analyzing data, comprising the steps of: grouping said plurality of correlative research documents into at least two research document groups according to said respective publishing timing and a judging timing of each of said correlative research documents, wherein said at least two research document groups comprise a group of a plurality of early research documents and another group of a plurality of new recent research documents, and using said computer system to subject said plurality of linguistic units of said early research documents and said new recent research documents to term frequency statistics, a bibliometric and a data mining to generate a plurality of research keywords; and recommending research information, comprising the step of: filtering out one or more of said research keywords of said new recent research documents to generate at least one new recent research keyword, said one or more of said research keywords of said new recent research documents appearing in both of said early research documents and said new recent research documents.