Information Search Trail Recommendation Based on Markov Chain Model and Case-based Reasoning

Author:

Wang Afeng1,Zhao Yiming1,Chen Yijin2

Affiliation:

1. School of Information Management , Wuhan University , Wuhan , China

2. School of Economic and Management , South China Normal University , Guangzhou , China

Abstract

Abstract An information search trail recommendation method based on the Markov chain model and case-based reasoning is proposed. A laboratory user experiment was designed to evaluate the proposed method. The experimental results demonstrated that novice searchers have a positive attitude toward the search trail recommendation and a willingness to use the recommendation. Importantly, this study found that the search trail recommendation could effectively improve novice searchers’ search performance. This finding is mainly reflected in the diversity of information sources and the integrity of the information content of the search results. The proposed search trail recommendation method extends the application scope of information recommendations and provides insights to improve the organization and management of online information resources.

Publisher

Walter de Gruyter GmbH

Subject

Geology,Ocean Engineering,Water Science and Technology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Construction of English Resource Database Network Information Recommendation Model Based on LSTM Algorithm;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. A Summary of the Research Methods of Artificial Intelligence in Teaching;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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