The invention relates to a
community-based author and academic paper recommending
system and a recommending method. A double-layer quotation network consisting of an author layer and an academic paper layer is formed by utilizing a quotation relation between an author and the academic paper and the
community information, then a user interesting model is established according to a historic behavior
record of the user and the academic paper set read by the user, finally the user demand is analyzed according to the obtained double-layer quotation network and the user interesting model, and the author and academic paper thereof can be recommended to the user. The
system is provided with an academic paper capturing module, an academic paper preprocessing module, a double-layer quotation network establishing module, a user interesting model establishing module and an individualized academic paper recommending module as well as a
database. By adopting the recommending
system and recommending method, not only can the correlation of the study content among users be used for establishing an author
community through a subjective model, but also
multiple attribute values of the to-be-recommended author and academic paper inside the community can be calculated, and the
weakness that the calculation of the existing recommending
algorithm is large can be improved; and meanwhile,
multiple attribute values of the author and academic paper can be simultaneously calculated, so that the recommend result is more diversified, and the user requirement can be better met.