Research on the precise recommendation service system of digital library
DOI:
https://doi.org/10.54097/hset.v16i.2492Keywords:
Digital library; precise recommendation; user portrait; library and information.Abstract
With the continuous development of big data technology, the service mode of library has changed greatly. This paper proposes a method for building a digital library precise recommendation service system based on user portraits, which improves the recommendation accuracy and efficiency of the digital library. Firstly, systematically sort out the research status of the application of user portrait technology in the field of library and information. Then, the needs of precise recommendation of the digital library under the user portrait technology in terms of recommended content, service positioning, user functions were analyzed. Finally, introduce the construction method of the recommendation service system of the digital library from the three aspects of data module, recommendation module and user module. This research aims to explore an effective transformation and development path for the precise recommendation of digital library.
Downloads
References
Li J, Bi Q, Xu P C, et al. Research on Data Driven Mechanism and Performance Optimization of Knowledge Discovery in Digital Library[J]. Library and Information Service, 2019, 10(3):5-13.
Zhao Y H, Liu F L, Luo L. Overview of user portrait research in the context of big data: knowledge system and research prospects [J]. Researches in library science, 2019, 24(5):13-24.
Cooper Alan. The inmates are running the asylum [M]. New York: Macmillan Computer Pub, 1999:123-128.
Teixeira C, Pinto J S, Martins J. User profiles in organizational environments [J]. Campus-Wide Information Systems, 2015, 25(25):329-332.
Yu C M, Tian X, Guo Y J, et al. User Profiling Based on the Behaviour and Content Combined Model [J]. Library and Information Service, 2018, 20(13):54-63.
Liu D, Zhang X G, Ren S M. User profile based bibliotherapy model in academic library [J]. Chinese Journal of Medical Library and Information, 2018, 27(7):68-71.
Liu H O, Yao S M, Hang W N, et al. Situational recommendation of Library big data knowledge service based on user portrait[J]. Researches in Library Science, 2018, 23(24):57-63, 32.
Guo S M. Research on user portrait and scene reconstruction of digital library [J]. Information Science, 2019(12):11-18.
Wang X F. The Construction of Knowledge Service Scene of Smart Library——Taking Jilin University of Arts Library as an Example [J]. Information Science, 2019(12):98-104.
Yuan R, Wang Q. The construction and empirical research of academic blog user portrait model——taking science blog as an example [J]. Library and Information Service, 2019, 22(2):13-20.
Liu H O, Yao S M, Huang W N, et al. Difficulties and countermeasures of big data application of mobile book light user portrait -- Based on the concept of block chain[J]. Researches in library science, 2019, 23(4):26-33.
Mao Y L. Reading promotion service innovation based on user portrait [J]. Journal of Academic Library and Information Science, 2020(1):23-26.
Yang Y R, Zhang Y. Research on the design and application of library user portrait [J]. Digital Communication World, 2020(2):34, 57.
Dong L. Research on the precise service strategy of medical college library from the perspective of user portrait [J]. Journal of Library Science, 2020, 2(11):41-45.
Yang Q, Zeng Z, Mo Z F. Analysis on the construction of micro knowledge service system of university library for user portrait [J]. Library, 2020 (3):81-87.
Pauwels N, Van D, Hardeman F, et al. The implications of irreversibility in emergency response decisions [J]. Theory and Decision, 2000, 49(1):25-51.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







