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Towards metadata-aware algorithms for recommender systems
Tso-Sutter, Karen H. L. - 2010
Persistent link: https://www.econbiz.de/10003926992
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Improving the speed and ease of open data use through metadata, interaction mechanisms, and quality indicators
Zuiderwijk, Anneke; Janssen, Marijn; Susha, Iryna - In: Journal of organizational computing and electronic commerce 26 (2016) 1/2, pp. 116-146
Persistent link: https://www.econbiz.de/10011490426
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ConTag : a semantic tag recommendation system
Adrian, Benjamin; Sauermann, Leo; Roth-Berghofer, Thomas R. - In: I-MEDIA '07, I-SEMANTICS '07 : International …, (pp. 297-304). 2007
ConTag is an approach to generate semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 services. We designed and implemented a process to normalize documents to RDF format, extract document topics using Web 2.0 services and finally match extracted topics to a...
Persistent link: https://www.econbiz.de/10009505132
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ConTag : a semantic tag recommendation system
Adrian, Benjamin; Sauermann, Leo; Roth-Berghofer, Thomas R. - In: I-MEDIA '07, I-SEMANTICS '07 : International …, (pp. 297-304). 2007
Persistent link: https://www.econbiz.de/10009505160
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Semantic Web : Einführung, wirtschaftliche Bedeutung, Perspektiven
Tusek, Jasna - 2006
Persistent link: https://www.econbiz.de/10003367692
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Locating experts using social media, based on social capital and expertise similarity
Huang, Shiu-Li; Lin, Sheng-Cheng; Hsieh, Ren-Jie - In: Journal of organizational computing and electronic commerce 26 (2016) 3, pp. 224-243
Persistent link: https://www.econbiz.de/10011552434
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Facilitating social recommendation with collaborative topic regression and social trust
Deng, Xiaoyi; Huangfu, Feifei - In: International journal of information technology and … 18 (2019) 2/3, pp. 182-194
Persistent link: https://www.econbiz.de/10012156001
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Diversity preference-aware link recommendation for online social networks
Yin, Kexin; Fang, Xiao; Chen, Bintong; Sheng, Olivia R. Liu - In: Information systems research : ISR 34 (2023) 4, pp. 1398-1414
Persistent link: https://www.econbiz.de/10014487303