Library learning material optimization recommendation method based on collaborative filtering

The invention discloses a collaborative filtering-based library learning material optimization recommendation method, which comprises the following steps that: a library obtains information data and learning material data of people of different levels in the society, and obtains a feature information data set and a material data set of people of different levels in the society after feature information processing; processing and calculating based on the social population feature data set and the data set to obtain a similar social population set; and the social population evaluates the recommended learning materials to obtain a material evaluation feature data set. According to the method, feature information processing and analysis are carried out on social population information data, similarity matching is carried out on the social population information data and associated data information in a data set through collaborative filtering, so that more accurate learning materials are matched, the efficiency o