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- W2811377644 abstract "In this paper, we propose a global architecture of a recommender tool, which represents a part of an existingcollaborative platform. This tool provides diagnostic documents for industrial operators. The recommendationprocess considered here is composed of three steps: Collecting and filtering information; Prediction orrecommendation step; evaluating and improvement. In this work, we focus on collecting and filtering step. Wemainly use information result from collaborative sessions and documents describing solutions that are attributedto the complex diagnostic problems. The developed tool is based on collaborative filtering that operates onusers' preferences and similar responses." @default.
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- W2811377644 date "2018-01-01" @default.
- W2811377644 modified "2023-10-05" @default.
- W2811377644 title "An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis" @default.
- W2811377644 doi "https://doi.org/10.9781/ijimai.2018.06.003" @default.
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