Personalized recommendation of human resources based on preferences and personality types a collaborative filtering-based approach
| Autor: | Haddani Outman, Dahmani Ali, Amjad Souad |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
business.industry Computer science Knowledge value chain Information processing Ontology (information science) Field (computer science) Capital (economics) Personal knowledge management Information system Collaborative filtering Social exclusion Human resources business Science technology and society |
| Zdroj: | 2016 Third International Conference on Systems of Collaboration (SysCo). |
| DOI: | 10.1109/sysco.2016.7831333 |
| Popis: | In an open and competitive world, companies must be organized internally to gain external challenge. Several companies and organizations suffer from problems related to the management of knowledge and knowledge capitalization. Knowledge management has become essential to competitiveness and development for each organization, which explains the large number of research and studies conducted in the field, thus good development of knowledge management requires a good mastery of information process (Acquire, represent, manage and capitalize). Among the threats that affect the development and success of this debate in most cases: the marginalized role of each individual, the lack of appropriate and technological solutions to promote the contribution of each to the common capital information and Finally, the overload of information given to them. In this paper, after the analysis of several studies in the fields of knowledge management and social sciences, we propose a new collaborative approach for the generic company's information system which is able to develop the mind of collective participation in knowledge capital management. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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