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Combining social network and collaborative filtering for personalised manufacturing service recommendation
Zhang, W. Y.; Zhang, S.; Chen, Y. G.; Pan, X. W. - In: International journal of production research 51 (2013) 22, pp. 6702-6719
Persistent link: https://www.econbiz.de/10010228887
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Learning service recommendations
Jungmann, Alexander; Kleinjohann, Bernd; Kleinjohann, Lisa - In: International journal of business process integration … 6 (2012/13) 4, pp. 284-297
Persistent link: https://www.econbiz.de/10010389801
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Service recommendation using conditional restricted Boltzmann machines
Li, Tianyang; He, Ting; Wang, Zhongjie - In: International journal of services technology and management 25 (2019) 5/6, pp. 423-442
Persistent link: https://www.econbiz.de/10012149087
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Role of trust in influencing service recommendation from customers for beauty service industry
Panwar, Tapish; Khan, Kalim - In: Metamorphosis : a journal of management research 21 (2022) 1, pp. 19-30
Persistent link: https://www.econbiz.de/10013384394
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Leveraging prior ratings for recommender systems in e-commerce
Guo, Guibing; Zhang, Jie; Thalmann, Daniel; … - In: Electronic commerce research and applications 13 (2014) 6, pp. 440-455
Persistent link: https://www.econbiz.de/10011349107
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Recommendation system for popular tourist attraction in Taiwan using Delphi panel and repertory grid techniques
Yeh, Duen-Yian; Cheng, Ching-Hsue - In: Tourism management : research, policies, practice 46 (2015), pp. 164-176
Persistent link: https://www.econbiz.de/10010486249
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A hybrid system for personalized content recommendation
Ye, Bo Kai; Tu, Yu Ju; Liang, Ting-Peng - In: Journal of electronic commerce research : JECR 20 (2019) 2, pp. 91-104
Persistent link: https://www.econbiz.de/10012153943
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Reducing vehicle cold start emissions through carbon pricing : evidence from Germany
Frondel, Manuel; Marggraf, Clemens; Sommer, Stephan; … - Sonderforschungsbereich Statistical Modelling of … - 2020
Persistent link: https://www.econbiz.de/10012592646
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Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems
Rodpysh, Keyvan Vahidy; Mirabedini, Javad; Banirostam, … - In: Electronic commerce research 23 (2023) 2, pp. 681-707
Persistent link: https://www.econbiz.de/10014251912
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Learning personalized product recommendations with customer disengagement
Bastani, Hamsa; Harsha, Pavithra; Perakis, Georgia; … - In: Manufacturing & service operations management : M & SOM 24 (2022) 4, pp. 2010-2028
Persistent link: https://www.econbiz.de/10013373482