面向“百度”搜索引擎优化算法应用规律分析

面向主流搜索引擎"百度",针对搜索引擎的经典排序算法,分析得出影响主流搜索引擎排序可能的相关因素:网页的关键词频率、关键词密度、Alexa排名、外部链接数量、PR值、出站链接数量。使用站长工具收集百度中靠前的网页的可能相关因素的数据,通过筛选过滤后,利用统计图来观察规律,再根据可能的规律使用相应方法进行检验和拟合,通过研究发现在百度靠前的搜索结果中,网页的关键字密度和PageRank具有规律性,这些结果为各类企业规划电子商务网站时,进行搜索引擎优化提供参考依据。     

城镇居民住房获取概率的差异及其影响因素

基于城镇居民家庭特征变量和组织变量,采用CGSS2013数据,通过Logistic模型分析我国城镇居民住房获取概率和获取不同类型住房概率的差异及其影响因素,研究表明：我国针对福利分房制度的市场化改革提高了居民的住房水平,但是在市场化转型过程中,再分配权力资源对住房资源仍然保持着占有上的优势。非市场因素对居民住房的获取产生了较为显著的影响,拥有制度优势的城镇户口居民、机关事业单位工作人员和商业精英在优质住房获取的机会上具有较为明显的优势。应继续深化以市场配置资源的住房制度改革,也要积极探索和推进户籍制度改革,消除“等级”观念的消极影响。     

球类竞赛的排各式积分编排方法研究

在球类竞赛中,采用“分组循环＋淘汰赛”的竞赛办法,虽然可以解决赛程适中的问题,但不能解决分组的问题。而棋类积分编排赛制虽然可以避免分组,但由于受到职业等级分排序的局限,使得其它项目的竞赛编排无法参照。通过研究,借鉴棋类积分编排方法理论,我们总结出“排名式积分编排方法”理论。目的是把棋类积分编排方法运用到其他体育项目上。虽然该理论目前还没有在积分编排软件上得到运用,但可以为研究人员提供参考。     

Social accounting research: An Australasian perspective

This paper provides an insight into the nature and the extent of social accounting research being undertaken within Australasia. It demonstrates that Australasian researchers account for a significant amount of internationally published social accounting research, but emphasises that the research effort seems to be confined to a limited number of researchers perhaps reflecting a lack of ‘take-up’ in this area in terms of the scale of participation. Information is also presented about the relative propensity of journals within the sample to publish social accounting research, and identifies that ‘top tier’ accounting journals historically have not published social accounting research. The paper also considers various factors which seem to be impeding the ‘recruitment’ of new social accounting researchers.     

Term frequency – function of document frequency: a new term weighting scheme for enterprise information retrieval

In today's business environment, enterprises are increasingly under pressure to process the vast amount of data produced everyday within enterprises. One method is to focus on the business intelligence (BI) applications and increasing the commercial added-value through such business analytics activities. Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital task in enterprise Information Retrieval (IR), text categorisation, text analytics, etc. When determining term weight in a document, the traditional TF-IDF scheme sets weight value for the term considering only its occurrence frequency within the document and in the entire set of documents, which leads to some meaningful terms that cannot get the appropriate weight. In this article, we propose a new term weighting scheme called Term Frequency – Function of Document Frequency (TF-FDF) to address this issue. Instead of using monotonically decreasing function such as Inverse Document Frequency, FDF presents a convex function that dynamically adjusts weights according to the significance of the words in a document set. This function can be manually tuned based on the distribution of the most meaningful words which semantically represent the document set. Our experiments show that the TF-FDF can achieve higher value of Normalised Discounted Cumulative Gain in IR than that of TF-IDF and its variants, and improving the accuracy of relevance ranking of the IR results.     

Development of a national competitiveness index based on a structural equation model

In this paper, we propose a national competitiveness index using raw Institute of Management Development (IMD) data and try to overcome a shortcoming in the IMD's own ranking system. The IMD world competitiveness ranking considers 20 factors to define an index, but it does not consider the structural relationships among various factors. We utilise a structural equation model to derive a national competitiveness index that reflects such structural relationships. We then reveal new rankings of world competitiveness. In addition, we conducted a comparison analysis by economy level and identified improvement points in terms of measurement variables as well as latent variables. Our work is expected to promote a new era of national competitiveness rankings and indices.