We introduce a novel algorithmic approach to content recommendation based on adaptive clustering of exploration-exploitation (“bandit”) strategies. We provide a sharp regret analysis of this algorithm in a standard stochastic noise setting, demonstrate its scalability properties, and prove its effectiveness on a number of artificial and real-world datasets. Our experiments show a significant in...

Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algorithms such an iterative cluster analysis to relief data, the result is often a set of classes with a marked lack of coherence in geographical space. The scattering of classes occurs because there is an authentic overl...

Introduction. This research is the first to investigate the experiences of teacherlibrarians as evidence-based practice. An empirically derived model is presented in this paper. Method.This qualitative study utilised the expanded critical incident approach, and investigated the real-life experiences of fifteen Australian teacher-librarians, through semi-structured interviews and inductive data ...

In this paper the text theoretical foundation of our text analysis system KONTEXT is described. The basic premise of the KONTEXT model is that new concepts are communicated by using the mechanisms of text constitution. The text model used assumes that the information conveyed in a text and the information describing its contextual organization can be structured into five layers (sentence struct...

introduction in a series of written texts surviving from the pre-islamic religion, apocalyptic literature has the vital role that deals with the matter of intuition and dreams that some qualified people experienced and also retold them. this revelation is universal and popular with most religions and ethnic groups. since the awareness of metaphysical issues and predicting future events and dist...

Social media has attracted the attention of the academic community as an emerging communication channel. This channel opens a new opportunity to measure the impact of social use of scholarly publications in social media (altmetrics) that supplements our understanding on the scholarly impact of publications (bibliometrics). Two different channels, social media and journal, are known to establish...

Traditional sentiment feature extraction methods in documentlevel sentiment classification either count the frequencies of sentiment words as features, or the frequencies of modified and unmodified instances of each of these words. However, these methods do not represent the sentiment words’ linguistic context efficiently. We propose a novel method and feature set to handle the contextual polar...

BACKGROUND This paper focuses on the prevalence of Latin terms and terminological collocations in the issues of Journal of Medical Case Reports (February 2007-August 2017) and discusses the role of Latin terminology in the contemporary process of writing medical case reports. METHODS The objective of the research is to study the frequency of using Latin terminology in English-language medical...