The invention relates to a
system and a method for website content joint recommendation, wherein the
system consists of
web page embedded codes, an access log, a
user information table, a
web page information table, a representative word recommendation table, an association recommendation table, a personality-oriented recommendation table, a website
information management module, a representative word recommendation table generation module, an association table generation module, a personality-oriented recommendation table generation module, a representative word recommendation module, an association recommendation module, a personality-oriented recommendation module, a recommended control module and a recommendation display module; the invention can automatically extract representative words of each
web page, arranges recommendation order of other web pages with the core of one recommendation word, comprehensively utilizes current access information of the user, personal access historical information of the visitor and overall access information of website access to intelligently recommend the content of the website. The
system and the method have higher
automation and intelligence, can predict and estimate the direction of the next browser of the visitor more accurately, provide content recommendation for the visitor of the website, increases 'stickiness' of the website, and improve pageviews of the website greatly under the conditions that investments of ads of the website are not increased, and the original content of the website are changed.