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dc.contributor.authorKeerati-Angkoon K.
dc.contributor.authorPichyangkura R.
dc.date.accessioned2021-04-05T03:22:09Z-
dc.date.available2021-04-05T03:22:09Z-
dc.date.issued2018
dc.identifier.other2-s2.0-85050248768
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13055-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050248768&doi=10.1109%2fCATA.2018.8398664&partnerID=40&md5=7af88cd11d53c4dfdb82c736ae230368
dc.description.abstractThe main purpose of this study is to develop innovative tool for supporting The Triple Helix Model: University-Industry-Governments Linkage. Web-based application recommendation system had been developed for creating the motivation for academic researcher to conduct commercial-based Research. Information Retrieval and Documentation Indexing technique were used in the web-based systems. In order to ensure system reliability and users intending to use, information retrieval model validation are tested. As the result, the systems enhance the efficiency and effectiveness of the linkage-process among the players of innovation network which are researchers, industry, public or private institutes, or technology transferred office. This process will aid researcher to emerge the commercial-based research and lead to research commercialization process in the next step. © 2018 IEEE.
dc.subjectInformation retrieval
dc.subjectSearch engines
dc.subjectWeb services
dc.subjectWebsites
dc.subjectIndexing techniques
dc.subjectInformation retrieval models
dc.subjectResearch commercializations
dc.subjectSystem reliability
dc.subjectTriple helix models
dc.subjectUniversity industries
dc.subjectWeb-based applications
dc.subjectWeb-based system
dc.subjectRecommender systems
dc.titleThe Triple Helix Model: University-industry-governments linkage web-based application recommendation systems for emerging commercial-base research
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation2018 4th International Conference on Computer and Technology Applications, ICCTA 2018. (2018), p.101-105
dc.identifier.doi10.1109/CATA.2018.8398664
Appears in Collections:Scopus 1983-2021

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