2 resultados para Tag Recommendation

em Dalarna University College Electronic Archive


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Preventing violence at work: A study of descriptions of safety measures in Swedish trade union journals 1978–2004 The purpose of this study is to examine if perceptions of interventions aimed at violence in the workplace have changed since the 1970s. In the beginning of the study period, structural factors are seen as the dominating explanation for workplace violence. The crime perspective rises in the 1990’s and methods of intervention becomes the control- and justice functions of larger society. The result shows search for accountability to be a salient factor for understanding the development towards an increasing use of penal sanctions.

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Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.