Survey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method

Abstract

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.In this paper, the situational awareness-related theory (SART) methods are investigated in the information service of university libraries, which is derived as the university libraries academic information intelligent recommendation system (IRS). In general, the IRS can automatically obtain and make use of the location, environment, scientists' and technicians' behavior and situation information. Then, according to the information, intelligent adaptive interest measuring model of scientists and technicians can be constructed, and the relevant similarity clustering algorithm and the collaborative filtering technology are presented to improve the recommended academic information based on the features of university libraries. In this way, the quality of academic information service of university libraries can be then improved. Literature ReviewThis paper presents the academic information IRS of university libraries based on the SART method, in which the current situation and trend of SART and service of IRS are investigated. Schilit firstly proposed the concept

Development and experimental study of analyzer to enhance maritime safety

“…The work [14] considers models of adaptive interest, which directly affects situation perception. This study examines the field of scientific interests among scientists, which forms their perception of the situation regarding research directions.…”

Intelligent Informatization Construction of University Libraries in the Environment of Multimedia Big Data

“…For example, some scholars conducted in-depth analysis on the development trend of university libraries under the background of big data and put forward their own opinions on the construction of smart libraries (Jing, 2021). Some scholars elaborated the concepts of smart library and big data, analyzed the necessity of the construction of university smart libraries, and proposed specific measures (Liu, 2020). Some scholars have discussed and analyzed the reasons that affect the construction of university smart libraries and proposed to realize the intellectualization of university libraries from such dimensions as yjiuconcept, technology, and service (Hou, 2020).…”