图书馆研究 ›› 2019, Vol. 49 ›› Issue (1): 105-109.doi: 10.3969/j.issn.2095-5197(2019)01-0105-05

• 新技术应用 • 上一篇    下一篇

基于Python的图博档数字资源推荐算法

陈玉鸣   

  1. 南京大学信息管理学院,江苏 南京 210046
  • 收稿日期:2018-07-01 出版日期:2019-01-30 发布日期:2019-12-10
  • 作者简介:陈玉鸣(1993-),男,南京大学信息管理学院2016级图书情报学硕士研究生,研究方向:图情领域的信息推荐。

A Recommendation Algorithm for Digital Resources Based on Python

CHEN Yu-ming   

  1. School of Information Management,Nanjing University,Nanjing 210046,China
  • Received:2018-07-01 Online:2019-01-30 Published:2019-12-10

摘要: 在大数据时代下,数字化的图书馆、博物馆、档案馆(以下简称“图博档”)平台的出现满足了人们便捷获取信息的需要,但大量的数字信息导致人们查找信息的效率低下。介绍了一种基于python编程语言的推荐算法,适合于图博档数字资源整合平台的运用,帮助用户高效准确地查找所需信息。

关键词: 图博档;数字化;推荐算法

Abstract: Under the era of big data,the emergence of digital library,museum and archives center(hereinafter referred to as LAM)platform meets the need of people to obtain information conveniently,but the large amount of digital information causes the inefficiency of searching information.This paper introduces a recommended algorithm based on the python programming language,which is suitable for the application of LAM digital resources integration platform to help users efficiently and accurately find the required information.

Key words: LAM;digitization;recommendation algorithm

中图分类号: 

  • G250