This paper outlines the architecture prototyping and development of ubiquitous computing for recommender systems in case of risk, with mobile and geographical capabilities based on collaborative and knowledge-based filtering approaches. Heterogeneous types of strategies developed towards minimizing risks occurrence effects are applied so as to efficiently allocate the efforts for reliable software development. A novel technique to improve risk assessment and validation at the time of event announcement involving risk type, risk severity level, users trust level, and users location is described and implemented within a dedicated mobile GIS recommender system for risk-awareness. The main purpose of research is to enhance the process of consolidation of the development cycle of GIS applications for early community risk-awareness.
Collaborative filtering, Recommender Systems, GIS, Risk management.
Nick VERCRUYSSEN, Cosmin TOMOZEI, Iulian FURDU, Simona VARLAN, Cristian AMANCEI, "Collaborative Recommender System Development with Ubiquitous Computing Capability for Risk Awareness*", Studies in Informatics and Control, ISSN 1220-1766, vol. 24(1), pp. 91-100, 2015. https://doi.org/10.24846/v24i1y201510
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