A Study of Multimodal Banner Discourse on Chinese E-Commerce Websites From the Perspective of Discourse Information

The banner ads on the e-commerce websites offer the information of new goods, best sellers, and promotions etc., which aim to attract the consumers, arouse their desire for shopping, and then guide them to the pages of advertised products. In linguistic sense, a banner is multimodal ads discourse being composed of text and images. So far, most of the multimodal studies of ad discourse take traditional printed ads other than banners as research object, and analysis is conducted, with metafunctions of language from the systemic functional linguistics as the basis, and visual grammar by Kress & van Leeuwen as the theoretical framework, to describe their representational meaning, interactive meaning or compositional meaning as well as meaning-construction patterns in ad discourse. Supported by the ideas of defining ads as one way to transmit information and consuming behavior as the course of processing information, the banner ads sampled from three most popular Chinese e-commerce websites of amazon.cn, TMALL.COM, and JD.COM are analyzed in this paper to demonstrate the characteristics of information structure of both language and non-language discourse in banner ad discourse, and further the way in which images are interrelated with text through information to fulfil the banner’s shopping guidance performance. The analysis also provides proof that the effectiveness of banners can be improved through perfecting the way in which text and images are interrelated

Studies on the Standard and Model for Cultivating Outstanding Legal Talents

Facing China’s higher legal education current problems, especially problem like legal graduates lack of excellence, the ministry of education has started an education and cultivation plan for outstanding legal talents. To cultivate outstanding legal talents, the first thing is to set up clear cultivation standard which should have the ability to cultivate comprehensive knowledge structures, certain foreign languages, practical abilities, and good legal professional ethics. Only when such standard was set up, we can further continue with the exploration and revolution of talent cultivation mode and measurement

Kanshi: The Vehicle of Cultural Exchange and Feminism

Senior Project submitted to The Division of Languages and Literature of Bard College

Green Logistics development and evaluation of the carbon footprint

Along with the worldwide climate changing, human activities and the rapid deterioration of the environment, Low-carbon economy in recent years become increasingly focus of attention in people's lives. The economic reform will gradually penetrate into the logistics system, modern logistics as a composite service industry, play a decisive role in the modern division of labor and cooperation under the social environment, it is a manufacturing! The important supporting business is an important bridge between production and consumption. The logistics industry is in a period of rapid development, the logistics process not only energy consumption demand is big, and the C02 emissions are also large. Coupled with the destruction of the human living environment, the greenhouse effect becomes more and more prominent, more the need of the development of green logistics, low carbon logistics. However, at home and abroad for most of the research of this aspect is still stay in the stage of qualitative analysis, quantitative analysis of the literature on energy consumption and C02 emission of less amount of logistics system. There are four objectives will be discussed. The first objective is the relevant literature on the green logistics is summarized, which lays the foundation for the research in this paper, green logistics. The second objective is the energy consumption and C02 calculation models were summarized, to provide reference for other scholars to conduct relevant research. The third objective is through statistical analysis, master the different modes of transport energy consumption and C02 emissions, and provide the basis for enterprises to choose the mode of transport. The fourth objective combining with specific examples, analyzed the carbon footprint of the logistics process instance modeling based on LCA.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Matrix factorization with rating completion : an enhanced SVD Model for collaborative filtering recommender systems

Collaborative filtering algorithms, such as matrix factorization techniques, are recently gaining momentum due to their promising performance on recommender systems. However, most collaborative filtering algorithms suffer from data sparsity. Active learning algorithms are effective in reducing the sparsity problem for recommender systems by requesting users to give ratings to some items when they enter the systems. In this paper, a new matrix factorization model, called Enhanced SVD (ESVD) is proposed, which incorporates the classic matrix factorization algorithms with ratings completion inspired by active learning. In addition, the connection between the prediction accuracy and the density of matrix is built to further explore its potentials. We also propose the Multi-layer ESVD, which learns the model iteratively to further improve the prediction accuracy. To handle the imbalanced data sets that contain far more users than items or more items than users, the Item-wise ESVD and User-wise ESVD are presented, respectively. The proposed methods are evaluated on the famous Netflix and Movielens data sets. Experimental results validate their effectiveness in terms of both accuracy and efficiency when compared with traditional matrix factorization methods and active learning methods