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Academic Journal of Computing & Information Science, 2024, 7(3); doi: 10.25236/AJCIS.2024.070314.

Development of Internet Forum System Based on Knowledge Recommendation

Author(s)

Ke Chen, Yanming Li

Corresponding Author:
Ke Chen
Affiliation(s)

School of Applied Technology, University of Science and Technology Liaoning, Anshan, China

Abstract

The virtual community established by online forums is the most typical, mature, and representative concrete form in the online society. The knowledge recommendation based online forum system is a type of thematic forum that provides users with a richer and more diverse knowledge experience by launching high-quality content that meets their needs. Firstly, the characteristics of openness, anonymity, and interactivity of online forums were analyzed; Next, this article constructs a knowledge recommendation process consisting of user preference model construction, knowledge model construction, and recommendation algorithm design; Then, a collaborative filtering algorithm process was designed, and a mathematical model was constructed based on the process of constructing a user rating matrix, searching for similar users, and generating recommendation results; Finally, this article designs an overall system architecture consisting of user operation layer, system function layer, business logic layer, and data persistence layer. The research results provide a complete solution for the development of knowledge recommendation based online forum systems.

Keywords

Knowledge Recommendation; Internet Forums; System Development; Collaborative Filtering Algorithm; Architecture Design

Cite This Paper

Ke Chen, Yanming Li. Development of Internet Forum System Based on Knowledge Recommendation. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 3: 97-102. https://doi.org/10.25236/AJCIS.2024.070314.

References

[1] Q. He, S. X. Wang. Path selection for the mobile transformation of provincial-level media network forums[J]. Press Outpost, 2020, 33(09): 41-42.

[2] J. R. Xuen, L. Wang, Q. Y. Zhou, et al. Hot Topic Detection in BBS Based on User Influences[J]. Information & Computer, 2021, 33(22): 44-46.

[3] Chigozirim Ajaegbu. An optimized item-based collaborative filtering algorithm[J]. Journal of Ambient Intelligence and Humanized Computing, 2021, 12(12) : 1-8.

[4] Zhao Wentao et al. A New Item-Based Collaborative Filtering Algorithm to Improve the Accuracy of Prediction in Sparse Data[J]. International Journal of Computational Intelligence Systems, 2022, 15(1): 1-15

[5] Jianrui Chen, Hua Wang, Zaizai Yan. Evolutionary heterogeneous clustering for rating prediction based on user collaborative filtering[J]. Swarm and Evolutionary Computation, 2018, 38(2): 35-41.

[6] Q. L. Chen, Y. H. Feng. Design and Implementation of Network BBS System Based on B/S and .NET[J]. Value Engineering, 2011, 30(05):149-151.

[7] Y. X. Lou. Design and Implementation of A Network Online Forum System on ASP.NET[J]. Computer Knowledge and Technology, 2014, 10(05): 938-941+969.

[8] J. Xue. Design and lmplementation of University Academic Forum System Online: Case Study of Nanjing University of Posts andTelecommunications Library[J]. Information Research, 2013, 33(10): 89-92.