Research on Precision Teaching Model of Ideology Course Based on Collaborative Filtering Algorithm

The ideological and political course should not only keep the academic rationality nature of itself, but also take into account characteristics colleges universities students’ growth development needs. At present, there are some problems in curriculum ideology, such as mechanical rigidity, weak pertinence, lack synergy, inability to form a personalized collaborative precise education mechanism. Aiming at related problems, this article constructs an accurate teaching model based on filtering algorithm. First, public test set recommended fields is used verify effectiveness practicability For data sparseness cold start algorithm, feature attributes attribute value preference matrix solve problem, similarity calculated offline, so realize real-time recommendation course. In order method for teaching, we conducted test. results show that has positive effect improvement performance. proposed realizes identity transformation students from passive acceptance active construction, effectively improved.