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关键词： Session-based recommendation   Graph neural network   Category sequence graph   Heterogeneous information fusion  

摘要： Session-based recommendation aims to predict next item based on users' anonymous behavior sequence within a short time. Recent studies focus on modeling sequential dependencies or complex relations among items in a session via recurrent/convolutional/graph neural networks. However, the following problems still remain: for short sessions, limited interactions cannot manifest user's intent clearly;for long sessions, user's interest may drift but be blurred by complex transitions. Motivated by the observation that different items are often belong to only a few categories or that closely related, in this article, we tackle these challenges by leveraging item category information, which is a concise form of knowledge and readily available in many platforms. We propose a novel method CaSe4SR that utilizes category sequence graph to augment session-based recommendation. In CaSe4SR, we build an item graph and a category graph, from user behavior sequence and item category sequence. The latter summarizes the former at concept level, which reduces item-level user behavior noises and makes user's interest clearer. Afterwards, graph neural networks are applied on item graph and category graph respectively to learn representations of items and categories. Then two alternative fusion strategies and attention mechanism are designed to integrate them, yielding global embedding of the session, which is further combined with representation of last item to get ultimate session representation. Extensive experiments on real-world datasets show that CaSe4SR outperforms other state-of-the-art methods consistently. Detailed analysis reveals that category sequence graph is beneficial for next-item recommendation in sessions with different lengths. (C) 2020 Elsevier B.V. All rights reserved.

关键词： ML-CFA   fit-indices   robust-estimation   ROC  

摘要： Within a multilevel confirmatory factor analysis framework, we investigated the ability of commonly used fit indices to discriminate between correctly specified models and misspecified models. Receiver operating characteristics (ROC) analyses were used to evaluate the performance of fit indices. Combining ROC analyses with checks of the convergence rates across Monte Carlo replications and ANOVA for investigating the variation in fit scores across replications, we found converging evidence for the utility of the investigated fit indices. Optimal thresholds based on maximizing sensitivity and specificity for detection of the true model were identified by the highest sensitivity and specificity and found to vary across different robust estimation methods (i.e., MLR, ULSMV, and WLSMV). The estimation method and sample size influenced the performance of common fit indices to detect misspecification of the level-1 model. All fit indices investigated performed poorly for detecting misspecification of the level-2 model when the level-2 sample size was below 100. We offer recommendations of commonly reported fit indices to use (and not use), cutoff criteria to use for specific estimation methods, and cautions about the use of recommended cutoff criteria for ML-CFA.

关键词： Gay   lesbian   attitudes   subgroups   stereotypes  

摘要： Nation-wide opinion polls and social scientific studies indicate that evaluations of gay men and lesbian women have become increasingly favourable. These positive trends do not explain the widespread discrimination experiences being reported. To assist researchers in investigating attitudes towards gay and lesbian persons, the current research examines whether there are multiple "types" that are identifiable and salient. Two Canadian studies (Ns = 67 and 206) were conducted to establish the presence of gay and lesbian subgroups. Using subgroups generated by Study 1 participants, community and student sub-samples selected those they perceive to exist. Results indicated that, for gay men, the subgroups Drag Queen and Flamboyant emerged, as did Butch for lesbian women. Amongst students, Closeted and Feminine also emerged for gay men, as well as Feminist and Tomboy for lesbian women. These findings have implications for contemporary research on gay- and lesbian-related attitudes and the methodology used to assess them.

关键词： Fit index   confidence interval   categorical data   nonnested models  

摘要： In structural equation modeling (SEM) studies with categorical data, researchers often use the root mean square error of approximation (RMSEA), comparative fit index (CFI), or standardized root mean squared residual (SRMR) to compare rival models. Model selection based on Delta RMSEA, Delta CFI, or Delta SRMR is meaningful because (a) finding a better model is more scientific and easier than establishing a "good" model, (b) it avoids the problems with cutoffs for fit indices, (c) one is less likely to overlook other equally substantively plausible models, and (d) information criteria (e.g., AIC, BIC) are not applicable to categorical data SEM. In this paper, we propose point estimators and confidence intervals (CIs) for Delta RMSEA, Delta CFI, and Delta SRMR under categorical data. Our methods are applicable to nonnested models and do not need a true model. Simulation results show our point estimators and CIs are all trustworthy, whereas the bias is large when estimating Delta RMSEA (Delta CFI, Delta SRMR) based on the common estimators in the current literature for RMSEA (CFI, SRMR).

关键词： British Muslims   education   religious education   teacher identity  

摘要： Given the current context of Prevent and Fundamental British Values, there has been a surge in academic and political interest surrounding Muslim identities in British educational contexts. Noting this 'religious turn' in educational debate, scholars have begun to question the mobilisation of 'Muslim' and 'Muslimness', suggesting that there are limits to such identification. This paper considers their critique through an exploration of how 'Muslim RE teachers' understood and experienced their personal and professional identities, based on recent qualitative research conducted with 21 'Muslim RE teachers' across England. Findings reveal that notions of being a 'Muslim RE teacher' are heavily contested, and instead highlight a fluid and dynamic spectrum of configurations of the participants' 'Muslim' and 'RE teacher' identities. The paper argues in support of the above critique, demonstrating that the assumed primacy of their 'Muslimness' limits the multiplicity of these participants' identities, and so does not reflect their empirical understanding and experience. The paper then suggests a move towards a more sophisticated understanding of identity, encapsulated in the notion of the 'RE teacher who is Muslim'.

关键词： 广义神话   桃源世界   陶潜的济世理想   昆仑世界与终北之国   隐遁背后  

摘要： 陶渊明作为东晋宋初极具特色的诗人,备受瞩目.陶潜研究中,桃源思想不可忽视.关于桃源的思想渊源探讨,从儒道兼宗、玄学清谈到道家仙化的神仙思想,众说纷纭.研习其诗文、生平经历、思想脉络,发现神话中的奇国异境对桃源天地曾有过启发和影响.试从诗文中奇异思想的考察、桃源世界架构、桃源思想与原始国度的共通性三个角度,溯源桃源思想的发轫.

关键词： 惯用语   划界   原型范畴   经典范畴  

摘要： 惯用语的划界问题至今还有许多争议,影响惯用语划界的因素主要有三个:语义、语体、语法结构.本文结合认知语言学的原型范畴理论,试图从影响惯用语划界的这三个因素以及"惯用语"术语来源四个方面来解释惯用语划界至今存在争议的原因,并基于原型范畴理论尝试着对惯用语做了界定,期望能对惯用语划界问题的研究提供一些新角度和新思考.

关键词： 汉魏晋   玄学   自然观   影响  

摘要： 该文分析了汉魏晋玄学自然观产生的时代背景及其与山水画的关联,从汉玄学兴起的缘由与魏晋六朝自然观的核心思想谈起,揭示这两种观念对中国山水画发展的深刻启示,从而梳理魏晋自然观与绘画艺术之间相辅相成的关系,进一步廓清我国传统哲学思想对中国山水画创作的影响。

关键词： 先验演绎   知性   范畴   先验对象   经验对象  

摘要： 本文致力于在"先验演绎"的框架内探讨康德关于经验对象构造的思想.在康德看来,经验对象既不是物自身,也不是单纯的心灵状态,而是主体在认识活动中表象出来的对象.经验对象的构造过程体现在以下三方面:首先,知性凭借范畴构造出作为形式结构的先验对象,这是任何对象得以可能的逻辑前提;其次,想象力发挥着沟通感性与知性的中介作用,它能在杂多材料的综合中执行知性的规范性要求,从而将经验性直观归摄到客体概念之下;再次,感性提供现象,知性提供先验对象,想象力结合二者,经验对象的构造呈现出三重主体依赖性.经验得以可能的条件同时也是经验对象得以可能的条件.

关键词： 犯罪心理学   精神价值   实体价值   应用价值  

摘要： 犯罪心理学属于刑事科学的基础内容，在现今社会中所表现出的价值范畴，包含三个层次，首先是指精神价值，其次是指实体价值，最后是指应用价值。而犯罪心理学的方法论体系，包含了具体研究方法、系统研究的一般理论、科学探讨的哲学方法论。本文在系统了解现阶段犯罪心理学学科研究内容的基础上，对所包含的价值范畴和方法论进行一一对应，并分析彼此之间的关系，以此更为深入的了解犯罪心理学在现今社会中的发展方向。