429 research outputs found
Writing instructions and its effects on the development of efl students' writing processes :: focus on revision /
No full textDissertação (Mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão
Leitura: uma proposta de avaliação
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão. Programa de Pós-Graduação em Linguística.Esta pesquisa teve por objetivo inicial formular um modelo de avaliação em leitura que não fugisse dos padrões estruturais tradicionais, mas que realmente trouxesse para as mãos do aluno textos com os quais ele se encontra no dia-a-dia e tarefas que ele precisa resolver no seu cotidiano. O modelo de testagem de leitura proposto, para este estudo, é baseado no teste de leitura proposto pelo Pisa (Programe for International Student Assessment, 2000) e foi elaborado considerando-se o processo de leitura como um processo interativo, o qual valoriza as condições afetivas e cognitivas do leitor, no sentido de que, assim como afirmam Ruddell e Unrau (1994), os indivíduos, para ler devem basear-se em seus conhecimentos e experiências prévias. Uma outra meta a ser alcançada na pesquisa era validar o teste proposto, a fim de que ele pudesse tornar-se um instrumento aplicável e útil para o âmbito educacional. O teste foi submetido a vários processos de validação, desde sua elaboração até sua aplicação, pois era necessário detectar no teste algumas características como: validade de construto, validade de conteúdo, validade de critério e face validity ou validade de aparência. De acordo com Jafarpur (1987), estas validações permitiriam observar se o teste poderia ou não ser considerado instrumento válido e eficiente para avaliar as capacidades as quais ele se propõe verificar. A busca d
Influence of Auxiliary Features in Factorization-based Collaborative Filtering
No full textThe tremendous growth of the Internet brings with it a massive amount of data that users are exposed to on a daily basis. Consequently, information filtering techniques like recommender systems have become increasingly important to sift through the data and find what is relevant to a particular user. A recent approach for recommender systems, called Factorization Machines (FM), has been attracting lots of attention for its flexibility and accuracy. In this work we explore the importance of optimizing FMs, the influence of different auxiliary features on the performance of FMs and how to weight these features. The results show that the optimization of hyper-parameters, factorization dimensionality and feature weights is a very crucial part of using FMs for recommendations. Using static un-normalized feature weights is found to outperform using previously proposed normalized weights in terms of rating prediction accuracy. Several new approaches to auxiliary features are proposed. Expanding feature vectors with info based on the ratio of users that found a review of the item helpful or not is found to improve performance slightly. Additionally, constructing feature vectors using the similarity of users (based on either common movies commented on, common friends or common ratings) was also beneficial to the performance. However, the overall conclusion is that there is no clear answer to which auxiliary features are useful, as it depends heavily on the dataset and in many cases auxiliary features seem to introduce noise into the model. A noticeable trend in the results indicates that item attributes are more useful for rating predictions than user attributes, while the opposite applies for top-N ranking predictions and diversity, which benefits more from user attributes.Electrical Engineering, Mathematics and Computer ScienceMultimedia ComputingEmbedded System
Osservazioni sul comportamento del parassitoide Psyttalia concolor nei confronti di Bactrocera oleae
No full text
Olive fruit fly effects on free acidity and peroxides value of olive oil
No full textA field study was conducted on the effects of damage due to the infestation of the Bactrocera oleae (Rossi) on free acidity and peroxides value of olive oil. Olive fruits were harvested from field-grown, irrigated trees (Olea europaea L. 'Frantoio') at three dates in 2007. Samples were prepared so to obtain four (0, 30, 60, 100%) or five (0, 20, 40, 60, 100%) treatments of olive fruits, differing in percentage of olive fly exit holes. The fruits were either crushed using a miniature press or a laboratory-type mill and the oil was separated by centrifugation. The free acidity of the oil was generally low regardless of treatment at both dates, with values well below the limits for the extra-virgin oil category. Increases in free acidity and peroxides value of oils extracted on October 16 were apparent for the 60 and 100% treatments, but not on October 30. In the second experiment free acidity and peroxides value appeared directly related to the percentage of exit holes immediately after the oil was extracte
Towards Minimal Necessary Data: The Case for Analyzing Training Data Requirements of Recommender Algorithms
No full textContains fulltext :
178606.pdf (Publisher’s version ) (Open Access)FATREC’17: Fairness, Accountability and Transparency in Recommender Systems, 31 August 2017, Como, Ital
A Survey of State-of-the-Art Methods on Question Classification
No full textThe task of question classification (QC) is to predict the entity type of a question which is written in natural language. This is done by classifying the question to a category from a set of predefined categories. Question classification is an important component of question answering systems and it attracted a notable amount of research since the past decade. This paper gives a comprehensive overview of the state-of-the-art approaches in question classification and provides a detailed comparison of recent works on question classification and discussed about possible extensions to QC problem.Computer ScienceElectrical Engineering, Mathematics and Computer Scienc
- …
