Open AccessSurvey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method
Author(s) -
Yan Liu
Publication year - 2020
Publication title -
journal of education and learning
Language(s) - English
Resource type - Journals
eISSN - 1927-5269
pISSN - 1927-5250
DOI - 10.5539/jel.v9n2p197
Subject(s) - situational ethics , computer science , recommender system , perception , situation awareness , context (archaeology) , information system , service (business) , knowledge management , data science , world wide web , psychology , engineering , social psychology , paleontology , electrical engineering , economy , neuroscience , economics , biology , aerospace engineering
Based on the context-aware environment, in this paper, the adaptive interest models are reviewed. And the academic information intelligent recommendation systems of university libraries are presented based on the situational awareness-related theory method, where the current situation and trend of situational awareness-related theory and service of intelligent recommendation systems are investigated. Meanwhile, the potential research directions, basic ideas and methods are also presented. The adaptive model and architecture of the academic information recommendation system are built based on situational awareness, and the collaborative filtering information recommendation algorithm is studied based on spatial-temporal similarity relationship to obtain the interest of scientific and technological scholars. Combining with the adaptive interest model, an academic information demand model is established. On this basis, the prototype system of academic information recommendation is further studied to realize personalized recommendation of academic information based on the situational perception. This paper will provide effective solutions to the digital resources service of university libraries and the academic information recommendation needs of scientific and technological scholars.