A major focus of much work of the group (as it has been since the City University Okapi work) is the development and refinement of basic ranking algorithms. The workhorse remains the BM25 algorithm; recently [3, 4] we introduced a field-weighted version of this, allowing differential treatment of different fields in the original documents, such as title, anchor text, body text. We have also rec...

Purpose – The purpose of this paper is to develop a global ranking of knowledge management and intellectual capital academic journals. Design/methodology/approach – An online questionnaire was completed by 233 active knowledge management and intellectual capital researchers from 41 countries. Two different approaches: journal rank-order and journal scoring method were utilized and produced simi...

A regression analysis of results from the Times Higher Education World University Rankings (THES-Ranking) from 2010-2014 shows high fluctuations in the rank and score for lower scoring universities (below position 50) which lead to inconsistent “up and downs” in the total results. We conclude that these fluctuations do not correspond to actual university performance. They create the impression ...

Screening large libraries of chemical compounds against a biological target, typically a receptor or an enzyme, is a crucial step in the process of drug discovery. Virtual screening (VS) can be seen as a ranking problem which prefers as many actives as possible at the top of the ranking. As a standard, current Quantitative Structure-Activity Relationship (QSAR) models apply regression methods t...

Abstract. We consider the classic problem of establishing a statistical ranking of a set of n items given a set of inconsistent and incomplete pairwise comparisons between such items. Instantiations of this problem occur in numerous applications in data analysis (e.g., ranking teams in sports data), computer vision, and machine learning. We formulate the above problem of ranking with incomplete...

We formulate a local form of the bipartite ranking problem where the goal is to focus on the best instances. We propose a methodology based on the construction of real-valued scoring functions. We study empirical risk minimization of dedicated statistics which involve empirical quantiles of the scores. We first state the problem of finding the best instances which can be cast as a classificatio...

abstract the purpose of this study was to study the relations between the self- leadership behavioral- focused strategies and creativity among the faculty members of iran university of science and technology. the population consisted of all faculty members of iran university of science and technology in the academic year of 2008- 2009 of whom 113 subjects were selected by proportional stratifie...

Non-Participation in the Stock (NPS) market is a serious concern especially with rising burden of debt general and NPA particular Indian economy. This paper an attempt to address problem NPS. Identification factors accountable for NPS first step resolve problem. Ranking obviously second so that can be resolved sequential manner. The current study identifies: willingness invest, cash availabilit...

Background. There is a weakness that the win-loss ranking model in the MLB now is calculated based on the result of a win-loss game, so we assume that a ranking system considering the opponent’s team performance is necessary. Objectives. This study aims to suggest the PageRank algorithm to complement the problem with ranking calculated with winning ratio in calculating team ranking of US MLB. ...