Search

Community question answering (CQA), with its flexible user interaction characteristics, is gradually becoming a new knowledge-sharing platform that allows people to acquire knowledge and share experiences. The number of questions is rapidly increasing with the open registration of communities and the massive influx of users, which makes it impossible to match many questions to suitable question answering experts (noted as experts) in a timely manner. Therefore, it is of great importance to perform expert recommendation in CQA. Existing expert recommendation algorithms only use data from a single platform, which is not ideal for new CQA platforms with sparse historical interaction and a small number of questions and users. Considering that many mature CQA platforms (source platforms) have rich historical interaction data and a large amount of questions and experts, this paper will fully mine the information and transfer it to new platforms with sparse data (target platform), which can effectively alleviate the data sparsity problem. However, the feature composition of questions and experts in different platforms is inconsistent, so the data from the source platform cannot be directly transferred for training in the target platform. Therefore, this paper proposes feature-alignment-based cross-platform question answering expert recommendation (FA-CPQAER), which can align expert and question features while transferring data. First, we use the rating predictor composed by the BP network for expert recommendation within the domains, and then the feature matching of questions and experts between two domains by similarity calculation is achieved for the purpose of using the information in the source platform to assist expert recommendation in the target platform. Meanwhile, we train a stacked denoising autoencoder (SDAE) in both domains, which can map user and question features to the same dimension and align the data distributions. Extensive experiments are conducted on two real CQA datasets, Toutiao and Zhihu datasets, and the results show that compared to the other advanced expert recommendation algorithms, this paper’s method achieves better results in the evaluation metrics of MAE, RMSE, Accuracy, and Recall, which fully demonstrates the effectiveness of the method in this paper to solve the data sparsity problem in expert recommendation.

Over the past decade, digital humanities scholarship has developed dramatically in Anglosphere universities. However, elsewhere such as China Mainland, little interest is yet visible in this scholarship. Still controversial over its methodology and epistemology, and too early to predict its future, digital humanities scholars have made respectful and encouraging commitments and accomplishments. The self-protection of humanities from further marginalization, through intersection with and integration of techno-humanities, is in line with the well-established value of innovation and the ubiquitous needs of social improvement. From both a macro and micro perspective, the author of this article contends that digital humanities scholarship can contribute to the humanities as a whole, by expanding comparative literature studies with data-based empiricism. However, as a new approach to comparative literature, digital humanities is still in its fledgling stage and faces a slew of challenges: inadequate involvement from humanities scholars, undefined boundaries within humanities disciplines, lack of global recognition, and immature theoretical models to propel future research. [ABSTRACT FROM AUTHOR]

While both are internationally acclaimed science fiction writers with remarkable attainments, Liu Cixin says that Arthur C. Clarke has been an important influence in his work. Their thematic concerns are similar, as they both represent the awe of indeterminacy in a vast universe, but they differ in their exploration of possibilities that expose the parochiality of anthropocentrism. Clarke's, 2001: A Space Odyssey, and Liu's, The Three-Body Problem, describe scenarios where humans confront an alien civilization. This article presents a literary interpretation of these powerful alien images and their relationship with humans, which reveal the authors' ideas about anthropocentrism in the age of technology, a leading force shaping society. By contextualizing their respective cultures, we hope to impress readers with Clarke and Liu's craftsmanship in science fiction writing. [ABSTRACT FROM AUTHOR]