The Design And Implementation Of Subject Personalized Recommend Based On Easyrec Technology

With the growth of huge amounts of network resources,it is increasingly difficult to find the knowledge that you want in the vast ocean of information.It is difficult to open web pages and retrieve information.Most of the information obtained is useless spam.This greatly wastes people's valuable time and reduces people's access to information.For college teachers and student users,the information and knowledge content of teachers and students in different disciplines are often different.The knowledge they need and their related disciplines are mostly scattered in different information sources and media..These sources of information are different,and the structure of the information is also different.The subject information service of the library has become an important part of the academic service in colleges and universities.However,most of the libraries have only a single information service model and the service quality is not high.They are far from the needs of the users of the subject information service,and do not consider the users of different disciplines.Due to the difference in requirements,the search scope for a single information is too broad,which leads to low search efficiency,and thus affects the user's retrieval experience to a large extent.This article applies the more practical and efficient personalized information recommendation system Easyrec to the subject information service.It is of great practical significance for researchers to develop more personalized and more efficient subject information recommendation services and apply information services to scientific research practice.Based on the Easyrec recommendation system framework,this article builds a personalized learning information service platform for the purpose of subject information services,which mainly includes the following contents:(1)Based on the existing personalized chemical information service model and personalized chemical information service technology,combined with the existing network information technology,including web crawling technology,network information organization technology and Easyrec network information recommendation technology,this paper proposes based on Easyrec The establishment of the Personality Chemistry Section Information Recommendation System.The research background and significance of this paper are clarified,and the research status at home and abroad is analyzed.The basic theory knowledge of information recommendation service of Personal Chemistry in Easyrec is combed and the technical practice is described.(2)Using the three different hierarchical modules of the Easyrec personalized recommendation system framework,combining the characteristics of the source of the existing subject knowledge,the characteristics of the users of the subject knowledge,and collecting,processing,and reorganizing the information of different sources of disciplines.A personalized subject information service form for different disciplines and different users.(3)Through the collection of various data collection(view,buy.rating)APIs to collect the user behavior of the website,Easyrec can generate recommendation information through offline analysis,and conduct recommendation business through Recommendations and Community Rankings.(4)Based on Easyrec recommendation system,a personalized recommendation system based on Easyrec is constructed,and empirically shows that the recommendation system can achieve the expected information collection and service.And can provide a personalized information service for academic researchers.