Language skills are an important factor affecting students' language application. The cultivation of students' language skills depends on teacher-led daily classroom teaching. In view of the importance of language skills in English teaching, to explore the teachers' organizational characteristics of language skills in teaching, based on the “English Curriculum Standards for Compulsory Education” issued by the Ministry of Education of China, this paper divides the teaching activities into six dimensions. Lag sequential analysis and a clustering algorithm were used to analyze and explore the organizational characteristics of language skills teaching of primary school English teachers in Yunnan Province. According to the comprehensiveness and the overall coherence of language skills in teaching organization, the hierarchical evaluation method of language skills teaching organization ability is developed. Finally, referring to the language skills teaching suggestions of the new curriculum standards, the paper puts forward suggestions for improving the classroom teaching organization.

In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the characteristics of small data and realizes multi-dimensional small data fusion by using fully connected neural network to capture the potential collaborative filtering information between users and projects, better grasp the needs of readers and users, and provide valuable assistance for subsequent personalized recommendation research. The effectiveness of the proposed method in personalized recommendation of library resources is verified by comparing several groups of experiments on public and self-built data sets.