计算机与现代化 ›› 2021, Vol. 0 ›› Issue (03): 57-62.

• 人工智能 • 上一篇    下一篇

基于人工智能推荐算法的智能家庭社会服务机制

  

  1. (山西师范大学,山西临汾041004)
  • 出版日期:2020-03-30 发布日期:2021-03-24
  • 作者简介:王士祺(1995—),女,河南焦作人,硕士研究生,研究方向:家庭社会学,E-mail: rongdu0286@163.com。

Social Service Mechanism of Intelligent Family Based on Artificial Intelligence Recommendation Algorithm#br#

  1. (Shanxi Normal University, Linfen 041004, China)
  • Online:2020-03-30 Published:2021-03-24

摘要: 随着社交网络时代的来临,社交网络的类型逐渐覆盖到不同的用户群体,对不同用户群体进行社交网络需求的潜力挖掘是目前的研究热点。本文研究基于人工智能推荐算法构建家庭社交网络的多级圈层结构,并以此提出家庭和亲属的智能推荐算法,以智能算法和家庭这一特殊群体的社交模式设计由个人信息模块、基本功能模块、家庭信息模块、应用服务模块和开放API模块所构成的家庭社交网络系统。研究结果表明,在数据量达到一万以上时,智能推荐算法的执行效率是非智能推荐算法的3倍左右,集群节点数对执行效率有显著影响。此外,智能推荐算法下的社交系统表现出良好的使用效果,这说明智能推荐算法具有较高的实用性。通过对家庭社会服务进行数据化的推荐算法研究,以及对算法执行效率进行定量验证,为社交网络服务机制提供了数据支持,验证了家庭社会服务的市场潜力。

关键词: 推荐算法, 智能家庭, 社会服务

Abstract: With the advent of the era of social network, the types of social network gradually cover different user groups. The potential mining of social network needs of different user groups is the current research hotspot. Based on the artificial intelligence recommendation algorithm, this paper constructs the multi-level circle structure of family social network, and proposes an intelligent recommendation algorithm of family and relatives. Based on the intelligent algorithm and the social mode of family, a family social network system that is composed of personal information module, basic function module, family information module, application service module and open API module is designed. The results show that when the amount of data is more than 10000, the execution efficiency of the intelligent recommendation algorithm is about three times that of the non intelligent recommendation algorithm, and the number of cluster nodes has a significant impact on the execution efficiency. In addition, the social system under the intelligent recommendation algorithm is of good effect, which shows that the intelligent recommendation algorithm has high practicability. This research provides the data support of social network service mechanism and verifies the market potential of family social service through the research of data-based recommendation algorithm for family social service and the quantitative verification of algorithm execution efficiency.

Key words: recommendation algorithm, smart home, social service