The invention discloses a personalized content recommendation
system with improved attention ability. The personalized content recommendation
system comprises a user login module, an evaluation module, a content pushing module, an ability training module and a result feedback module. According to the method, analysis dimensions are increased, a student ability
semantic dictionary is constructed, attention quality dimensions and cognitive ability dimensions are combined,
relevant feature semantics such as
human body temperament types and learning styles are fused, and an effective attention ability analysis model and an effective learner
feature model are constructed. Attention is taken as a main line, and an attention ability improvement
closed loop of initial evaluation, initial content pushing, ability training, staged development evaluation, result feedback, training, evaluation... is provided for a user; training content and a multi-mode guide mode are displayed to the user, and the attention ability improvement training content is comprehensively integrated into a
system. Meanwhile, the system corrects and adjusts the training content of the user according to the user
evaluation result, and the attention ability
training level is further improved.