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协同过滤推荐算法研究进展

翁小兰 王志坚

计算机工程与应用2018,Vol.54Issue(1):25-31,7.
计算机工程与应用2018,Vol.54Issue(1):25-31,7.DOI:10.3778/j.issn.1002-8331.1710-0081

协同过滤推荐算法研究进展

Research process of collaborative filtering recommendation algorithm

翁小兰 1王志坚2

作者信息

  • 1. 河海大学计算机与信息学院,南京211100
  • 2. 淮阴师范学院计算机科学与技术学院,江苏淮安223300
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摘要

Abstract

Recommended technology is widely applied in various fields, and the successful application of the collaborative filtering recommendation algorithm is especially significant. This paper mainly introduces the basic concept and principle of the collaborative filtering recommendation algorithm, including such aspects:algorithm work flow, recommends process as well as the experiment assessment. The collaborative filtering technique faces up to some problem, although it has achieved great success, because of its algorithm features. The paper analyzes these problems and proposes the corre-sponding solution of collaborative filtering recommendation algorithm, and finally puts forward the new research hotspots of the collaborative filtering recommendation algorithm.

关键词

协同过滤/冷启动/稀疏性/扩展性

Key words

collaborative filtering/cold-start/sparsity/scalability

分类

信息技术与安全科学

引用本文复制引用

翁小兰,王志坚..协同过滤推荐算法研究进展[J].计算机工程与应用,2018,54(1):25-31,7.

基金项目

国家自然科学基金青年基金(No.11201168). (No.11201168)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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