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Titlebook: HCI in Business, Government and Organizations. Information Systems and Analytics; 6th International Co Fiona Fui-Hoon Nah,Keng Siau Confere

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An Incremental Clustering Approach to Personalized Tag Recommendations) recommendation technique. The incremental clustering assumes each object appears in sequence and then is incrementally clustered into either an appropriate existing category or a created new category. The PET technique can classify each resource into multiple categories (i.e., tags) or label it as
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https://doi.org/10.1007/978-3-319-67193-2n the potentials of applying the business strategy of Multi-Sided Platform (MSP) in the construction industry and adapting its conceptual model for managing BIM implementation in construction SMEs. Positioning BIM professional services in MSP model can enable these firms to focus on their core busin
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https://doi.org/10.1007/978-94-009-5833-3st considered as a stochastic point process whose characteristics require comment before proceeding to the statistical shape analysis of the visualization. Once clarified the fixation points are reinterpreted as a sampling of the shape and size of the landmark configurations of geometric landmarks o
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Feeling the Pinch: Unemployment,ell as the covered distance and the total time of the session could be associated with the perception of the system usefulness, the information and interface quality and the overall impression. The objective of this study was to point out a new interesting research direction of using implicit gather
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The Birth of Modern Politics in Spainlts of these research projects have directly impacted entire business units, driven the future direction of product portfolios, pivoted product strategy, and created new business opportunities. The Process Best Practices described in this paper are designed to successfully guide a research practitio
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ctors included in three different behavioral models. Results from this survey were analyzed using exploratory factor analysis, which provided insights as to the salience of each variable vis-à-vis online information behavior. Of the factors included in our study, our results surfaced four variables
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The First Version: Adapting Gondalanalysis methods are used to extract features from the text messages that are posted in OHC for online social interaction or social support exchange. Then a deep learning model is applied to classify two major types of social support (i.e., informational and emotional support) expressed in OHC reply
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