An
RSS information recommendation method based on
collaborative filtering belongs to the technical field of information recommendation. A
system comprises a reading module, a subscribing module, a subscription management module, an action recording module, an action
processing module and a recommendation module, wherein the reading module is respectively connected with the subscribing module, the subscription management module, the action recording module and the recommendation module; the action
processing module is respectively connected with the action recording module and the recommendation module; the subscribing module is interconnected with the subscription management module, and the data in one or more
server databases is shared between the modules through control statement realized by
programming. The invention enables the recommendation effect not to be limited in the recommendation of the whole
RSS information source and highlights the recommendation of individual article, thereby effectively avoiding the
information redundancy and overload; the recommendation effect has a certain difference coverage, and is convenient for the user to discover new content with interest; and the invention introduces collaborator user groups and applies the collaborator
user group weigh factor to enable the recommendation content to become more precise and more credible.