This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of co...This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].展开更多
The present study investigates authorial stance in research articles of native and non-native academic authors of English. It aims to analyze evaluation adverbs in research articles written by native authors of Englis...The present study investigates authorial stance in research articles of native and non-native academic authors of English. It aims to analyze evaluation adverbs in research articles written by native authors of English(NAEs) and Vietnamese-speaking authors of English(VAEs) between 2012 and 2015. The data of 120 articles was investigated to examine whether there is a significant difference in using stance adverbs between the two groups of authors. It was found that NAEs and VAEs used stance adverbs in a considerably different way. Most of the stance adverb categories were variously overused by NAEs against VAEs. It was also found that English native authors of research articles preferred indirect approaches of expressing their evaluation by an illocutionary way of manner-of-speaking,metalinguistic and expectation markers,while Vietnamese authors favored an epistemic way of modal adverbs.展开更多
文摘This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].
文摘The present study investigates authorial stance in research articles of native and non-native academic authors of English. It aims to analyze evaluation adverbs in research articles written by native authors of English(NAEs) and Vietnamese-speaking authors of English(VAEs) between 2012 and 2015. The data of 120 articles was investigated to examine whether there is a significant difference in using stance adverbs between the two groups of authors. It was found that NAEs and VAEs used stance adverbs in a considerably different way. Most of the stance adverb categories were variously overused by NAEs against VAEs. It was also found that English native authors of research articles preferred indirect approaches of expressing their evaluation by an illocutionary way of manner-of-speaking,metalinguistic and expectation markers,while Vietnamese authors favored an epistemic way of modal adverbs.
