Adaptive Recommendation Method of IoT Apps and Ideological and Political Teaching Resources

Abstract

In view of the current poor nature of online ideological and political teaching and the deficient impact of the executive teaching resource recommendation, this paper advances the examination on the versatile recommendation technique for online ideological and political teaching resources under the school enterprise cooperation mode, gathers and deals with the ideological and political teaching data in view of the teaching qualities of the school enterprise cooperation mode, and develops the assessment calculation of teaching data the board. At last, through tests, it is affirmed that the versatile recommendation technique for online ideological and political teaching resources under the school enterprise cooperation mode has high practicability and fully meets the research requirements.

A New Collaborative Filtering Recommendation Algorithm for Course Resources Based on Language-Scoring Data

“…First, when calculating sentence similarity, many algorithms adopt only simple methods, such as the bag-of-words model, making it difficult to accurately reflect the semantic information of sentences [15][16][17][18]. Second, existing algorithms often ignore the changes in the effect of students' acceptance of new knowledge, which can lead to inconsistency between the recommended resources and students' real learning needs [19,20]. Third, many available algorithms only have a low efficiency in processing large-scale data and cannot meet the requirement of real-time recommendations in practical applications.…”