Pathway prediction using similar users and the N-gram model

机译：使用相似用户和N-gram模型进行路径预测

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This paper is about our research on user pathway prediction for being applied to a location aware system. In particular, we propose a prediction method based on an jV-gram model with Kneser-Ney smoothing (KNS), originally developed by other researchers for statistical language model smoothing, and introduce the use of the transition information of similar users into KNS. We then verify the performance of the proposed prediction method by comparing it with an existing prediction method and a prediction method based on KNS using all users' information. The comparison result reveals that the proposed method outperforms its counterparts on all performance metrics: precision, recall, F-measure, and CA.

机译：本文是关于我们对用户路径预测的研究，该研究将应用于位置感知系统。特别是，我们提出了一种基于带有Kneser-Ney平滑（KNS）的jV-gram模型的预测方法，该方法最初是由其他研究人员开发的用于统计语言模型平滑的方法，并将类似用户的转换信息引入KNS。然后，通过将其与现有预测方法和使用所有用户信息的基于KNS的预测方法进行比较，来验证所提出的预测方法的性能。比较结果表明，该方法在所有性能指标（精度，查全率，F度量和CA）上均优于同类方法。

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来源
《2013 International Joint Conference on Awareness Science and Technology and Ubi-Media Computing》|2013年|131-136|共6页
会议地点 Aizuwakamatsu(JP)
作者
Kawase Kanta; Thawonmas Ruck;
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作者单位

Intelligent Computer Entertainment Laboratory, Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japanc;

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原文格式 PDF
正文语种 eng
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关键词
N-gram Model; kneser-ney smoothing; pathway prediction;

机译：N-gram模型； Kneser-ney平滑；路径预测；;

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1. Modeling actions of PubMed users with n-gram language models [J] . Jimmy Lin, W. John Wilbur Information retrieval . 2009,第4期

机译：使用n-gram语言模型对PubMed用户进行建模
2. Action prediction for a user using inductive learning with N-gram [J] . Jinan Xu, Kenji Araki, Koji Tochinai 電子情報通信学会技術研究報告. ヒュ-マン情報処理. Human Information Processing . 2002,第595期

机译：使用N-gram归纳学习的用户动作预测
3. Action prediction for a user using inductive learning with N-gram [J] . Jinan Xu, Kenji Araki, Koji Tochinai 電子情報通信学会技術研究報告. ヒュ-マン情報処理. Human Information Processing . 2002,第595期

机译：使用N-GRAM使用归纳学习的用户的动作预测
4. Pathway prediction using similar users and the N-gram model [C] . Kawase Kanta, Thawonmas Ruck International Joint Conference on Awareness Science and Technology and Ubi-Media Computing . 2013

机译：使用类似用户和N-GRAM模型的途径预测
5. Forward Modeling in the Manual Modality: Linguistic and Nonlinguistic Predictions by American Sign Language Users [D] . Brozdowski, Christopher R. 2018

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6. Modeling Actions of PubMed Users with N-Gram Language Models [O] . Jimmy Lin, W. John Wilbur -1

机译：N-Gram语言模型对PubMed用户的建模动作
7. HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs [O] . Sonia Setia, Verma Jyoti, Neelam Duhan 2020

机译：HPM：基于N-GRAM解析和访问日志的用户行为预测混合模型
8. Validation of models using Chernobyl fallout data from southern Finland. Scenario S. Second report of the VAMP multiple pathways assessment working group. Part of the IAEA/CEC co-ordinated research programme on the validation of environmental model predictions (VAMP) [R] . 1996

机译：使用芬兰南部的切尔诺贝利衰减数据验证模型。情景s. Vamp多途径评估工作组的第二份报告。 IaEa / CEC协调环境模型预测验证研究计划（Vamp）的一部分

Pathway prediction using similar users and the N-gram model

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