A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System
The prevalence of smartphones and wireless broadband networks have been progressing as a new Railway infomration environment.　According to the spread of such devices and information technology, various types of information can be obtained from databases connected to the Internet. One scenario of o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Politeknik Elektronika Negeri Surabaya
2017-07-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/189 |
| _version_ | 1818882021829640192 |
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| author | Motoki Yokoyama Yasushi Kiyoki Tetsuya Mita |
| author_facet | Motoki Yokoyama Yasushi Kiyoki Tetsuya Mita |
| author_sort | Motoki Yokoyama |
| collection | DOAJ |
| description | The prevalence of smartphones and wireless broadband networks have been progressing as a new Railway infomration environment.　According to the spread of such devices and information technology, various types of information can be obtained from databases connected to the Internet. One scenario of obtaining such a wide variety of information resources is in the phase of user’s transportation. This paper proposes an information provision system, named the Station Concierge System that matches the situation and intention of passengers. The purpose of this system is to estimate the needs of passengers like station staff or hotel concierge and to provide information resources that satisfy user’s expectations dynamically. The most important module of the system is constructed based on a new information ranking method for passenger intention prediction and service recommendation. This method has three main features, which are (1) projecting a user to semantic vector space by using her current context, (2) predicting the intention of a user based on selecting a semantic vector subspace, and (3) ranking the services by a descending order of relevant scores to the user’ intention. By comparing the predicted results of our method with those of two straightforward computation methods, the experimental studies show the effectiveness and efficiency of the proposed method. Using this system, users can obtain transit information and service map that dynamically matches their context. |
| first_indexed | 2024-12-19T15:11:08Z |
| format | Article |
| id | doaj.art-237996b3f51642cf82374fc0a935fb2f |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-19T15:11:08Z |
| publishDate | 2017-07-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-237996b3f51642cf82374fc0a935fb2f2022-12-21T20:16:17ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682017-07-015110.24003/emitter.v5i1.18982A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge SystemMotoki Yokoyama0Yasushi Kiyoki1Tetsuya Mita2Keio UniversityKeio UniversityResearch and Development Center of JR East Group, East Japan Railway CompanyThe prevalence of smartphones and wireless broadband networks have been progressing as a new Railway infomration environment.　According to the spread of such devices and information technology, various types of information can be obtained from databases connected to the Internet. One scenario of obtaining such a wide variety of information resources is in the phase of user’s transportation. This paper proposes an information provision system, named the Station Concierge System that matches the situation and intention of passengers. The purpose of this system is to estimate the needs of passengers like station staff or hotel concierge and to provide information resources that satisfy user’s expectations dynamically. The most important module of the system is constructed based on a new information ranking method for passenger intention prediction and service recommendation. This method has three main features, which are (1) projecting a user to semantic vector space by using her current context, (2) predicting the intention of a user based on selecting a semantic vector subspace, and (3) ranking the services by a descending order of relevant scores to the user’ intention. By comparing the predicted results of our method with those of two straightforward computation methods, the experimental studies show the effectiveness and efficiency of the proposed method. Using this system, users can obtain transit information and service map that dynamically matches their context.https://emitter.pens.ac.id/index.php/emitter/article/view/189Context AwarenessSemantic ComputingSemantic Associative SearchInformation RetrievalCyber-Physical system. |
| spellingShingle | Motoki Yokoyama Yasushi Kiyoki Tetsuya Mita A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System Emitter: International Journal of Engineering Technology Context Awareness Semantic Computing Semantic Associative Search Information Retrieval Cyber-Physical system. |
| title | A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System |
| title_full | A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System |
| title_fullStr | A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System |
| title_full_unstemmed | A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System |
| title_short | A Similarity-Ranking Method on Semantic Computing for Providing Information-Services in Station-Concierge System |
| title_sort | similarity ranking method on semantic computing for providing information services in station concierge system |
| topic | Context Awareness Semantic Computing Semantic Associative Search Information Retrieval Cyber-Physical system. |
| url | https://emitter.pens.ac.id/index.php/emitter/article/view/189 |
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