Documentation, Informaiton & Knowledge ›› 2024, Vol. 41 ›› Issue (3): 144-153.doi: 10.13366/j.dik.2024.03.144

• Knowledge, Learning & Management • Previous Articles     Next Articles

Integration, Empowerment and Co-creation: Future Prospect of Blockchain Embedding into Algorithmic Recommendation

ZHOU Yingyu1, KE Ping2, LIU Haiou1,2   

  1. 1. School of Economics and Management, Yanshan University, Qinhuangdao,066004;
    2. Business School, Nankai University, Tianjin, 300191
  • Online:2024-05-10 Published:2024-07-04
  • Contact: Correspondence should be addressed to LIU Haiou, Email:haiou@ysu.edu.cn, ORCID:0000-0003-4354-350X
  • Supported by:
    This is an outcome of the project "Research on the 'Personalized Recommendation Privacy Paradox' Balance Mechanism Empowered by the Blockchain Ecology"(21BTQ081)supported by National Social Science Foundation of China.

Abstract: [Purpose/Significance] The rapid development and widespread application of algorithmic recommendation has subverted the traditional mode of information distribution, emerging as a mainstream technical tool for precise users-content matching in the era of information overload. It is especially necessary to explore optimizing algorithmic recommendation system through technology embedding and humanistic bridging, so as to promote its development and effective integration with the society. [Design/Methodology] From the perspective of value, practice, and goals, this paper discussed the core logic of blockchain integration into algorithm recommendation, using blockchain data traceability, smart contracts, incentive mechanisms, etc. as technical support to deeply empower algorithm recommendation data acquisition, privacy protection, risk early warning and ecological incentive process. Furthermore, from the aspects of top-level design, data governance, regulatory evaluation and legal mechanism, the practical path of blockchain integrated into algorithm recommendation was proposed. At the same time, the cost and complex mechanism in the practical application of blockchain was discussed. [Findings/Conclusion] The utilization of blockchain technology provides a powerful impetus for the in-depth development of algorithmic recommendation systems, enabling the adaptation of innovative models and structures in algorithm recommendations. Moreover, it facilitates reliable data sharing and value co-creation across multiple source and domain within the recommendation system.[Originality/Value] The blockchain technology is embedded in the algorithm recommendation system, innovating the resource allocation mode and content generation modes of the system. This ensures a secure and orderly data flow in the algorithm recommendation system, providing a new perspective to promote its profound development.

Key words: Algorithm recommendation, Blockchain, Integrate ecology, Deep empowerment, Value co-creation