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  4. Vol 8, Issue 5, 2024

Research on Prediction Recommendation System Based on Improved Markov Model

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DOI: 10.23977/acss.2024.080510 | Downloads: 101 | Views: 1477

Author(s)

Zhizhong Wu 1, Xueshe Wang 2, Shuaishuai Huang 3, Haowei Yang 4, Danqing Ma 5

Affiliation(s)

1 UC Berkeley, College of Engineering, Berkeley, CA, USA
2 Pratt School of Engineering, Duke University, Mechanical Engineering, Durham, NC, USA
3 Department of Software, University of Science and Technology of China, Software System Design, Hefei, Anhui, China
4 Cullen College of Engineering, University of Houston, Indusrial Enginnering, Houston, TX, USA
5 Northern Arizona University, Computer Information Tech, Flagstaff, AZ, USA

Corresponding Author

Zhizhong Wu

ABSTRACT

With the rapid development of the Internet and information technology, recommendation systems are playing an increasingly important role in various applications. Traditional recommendation algorithms, such as content-based recommendations and collaborative filtering, have achieved success to some extent. However, they show limitations when dealing with issues like data sparsity and the complexity of user behavior. This paper proposes a prediction recommendation system based on an improved Markov model to address these issues. By introducing the Hidden Markov Model (HMM) and an improved state transition mechanism, the model's predictive capability in handling user behavior sequences is enhanced. This paper first introduces the background and theoretical foundation of recommendation systems and Markov models, then details the design and implementation of the improved Markov model. Experiments on public datasets demonstrate that the recommendation system based on the improved Markov model outperforms traditional methods in terms of recommendation accuracy and user satisfaction. Finally, the paper summarizes the main contributions and suggests potential directions for future research.

KEYWORDS

Recommendation System, Markov Model, Hidden Markov Model, Data Sparsity

CITE THIS PAPER

Zhizhong Wu, Xueshe Wang, Shuaishuai Huang, Haowei Yang, Danqing Ma, Research on Prediction Recommendation System Based on Improved Markov Model. Advances in Computer, Signals and Systems (2024) Vol. 8: 87-97. DOI: http://dx.doi.org/10.23977/acss.2024.080510.

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