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Simona Balbi Michelangelo Misuraca Germana Scepi 《Information processing & management》2018,54(4):674-685
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor. 相似文献
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Lesly Alejandra Gonzalez Camacho Solange Nice Alves-Souza 《Information processing & management》2018,54(4):529-544
Recommender Systems are currently highly relevant for helping users deal with the information overload they suffer from the large volume of data on the web, and automatically suggest the most appropriate items that meet users needs. However, in cases in which a user is new to Recommender System, the system cannot recommend items that are relevant to her/him because of lack of previous information about the user and/or the user-item rating history that helps to determine the users preferences. This problem is known as cold-start, which remains open because it does not have a final solution. Social networks have been employed as a good source of information to determine users preferences to mitigate the cold-start problem. This paper presents the results of a Systematic Literature Review on Collaborative Filtering-based Recommender System that uses social network data to mitigate the cold-start problem. This Systematic Literature Review compiled the papers published between 2011–2017, to select the most recent studies in the area. Each selected paper was evaluated and classified according to the depth which social networks used to mitigate the cold-start problem. The final results show that there are several publications that use the information of the social networks within the Recommender System; however, few research papers currently use this data to mitigate the cold-start problem. 相似文献
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[目的/意义]从用户动机视角对Altmetrics指标的本质和价值进行分析,使Altmetrics的应用更为科学合理。[研究设计/方法]首先对相关文献中的动机进行组织提炼与规范化表述。在此基础上引入用户行为理论解释和分析用户动机体现的指标价值。再选取Twitter提及量指标,使用内容分析法进行案例研究。[结论/发现]提炼出19种用户动机,其中有6种动机会降低指标应用价值。[创新/价值]探索Altmetrics数据的产生机制,在一定程度上回答了Altmetrics指标可用性问题。 相似文献
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[目的/意义] 针对包含单一类型知识单元的知识网络难以全面反映学科知识结构的问题,提出一种从多维度进行知识网络结构融合的方法,为学科领域知识结构挖掘提供借鉴。[方法/过程] 利用LDA及TF-IDF方法抽取学科知识单元,然后运用语义相似度和关键词共现分析方法构建3个学科知识子网络:主题网络、关键词网络和实体网络,并采用空间节点传递对齐方法对齐子网络节点,接着设计基于图卷积操作的自编码模型对知识节点进行表示,最后通过计算余弦相似度重构学科知识网络。[结果/结论] 实验部分以人工智能领域为例,构建融合主题、关键词和实体的学科知识网络并展开分析,实验结果表明,本文所提方法能有效地揭示学科领域研究内容和知识结构,为学科知识发现与组织研究提供有益参考。 相似文献
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《Sport Management Review》2020,23(5):824-837
The purpose of this study was to explore nostalgia’s effect on MiLB spectators’ psychological, emotional, and behavioral responses. Mobile encephalography (EEG) headsets were used to monitor attendees’ neurological responses that may be indicative of nostalgia, while an ecological momentary assessment (EMA) permitted the capturing of spectators’ self-reported nostalgic levels. This approach allowed participants’ mental scores to be analyzed in relationship to their nostalgic occurrences. Brainwave frequencies emblematic of inward attention and arousal were significantly related with the number of instances spectators reported feeling nostalgic, which denote mental dispositions prevalent among attendees more prone to nostalgia. Moreover, PROCESS macro regression highlighted nostalgia’s ability to influence spectators’ behavioral intentions. Results also revealed environmental stimuli originating from sight, sound, and sociability to be especially prominent in triggering nostalgia. Overall, the study’s findings reveal unique characteristics present in baseball that render both immediate and enduring effects. 相似文献
17.
ABSTRACT This paper examines the social construction of ‘fashionability’ – namely, what is ‘desirable’ and ‘fashionable’ – with reference to the concept ‘cultural mediators’ that foregrounds agency, negotiation and the contested practices of market actors in cultural production. It zeroes in on the cultural mediators’ attitudes and positions in the two markets by drawing on 25 in-depth interviews with industry veterans. It shows that the mediators in South Korea and China increasingly occupy hybrid occupational roles and social positions across industries and sectors yet achieve limited success in countering the status quo of Western fashion through mediation. The analysis contributes to the literature with a categorisation of seven mediation practices that shape the valuation of fashion products (i.e. ‘fashionability’) in two ways. Empirically, this categorisation illuminates how cultural mediators make reference habitually to the broader social and cultural contexts to co-construct cultural-aesthetic objects. Theoretically, it advances a cultural-economic approach to the understanding of cultural mediation and challenges the reductionist viewpoint of actor–network theory through the notion of a matrix of cultural-economic agency. 相似文献
18.
针对社会体育指导与管理专业学生就业渠道不畅、市场前景萎缩的现状,通过构建校企(地)联合培养的社会体育指导与管理专业人才培养模式,打造残疾人运动与康复服务的专业小方向,重新构建专业人才培养目标定位、以市场为导向的课程体系和结合人才培养对接的实习、实训课程体系,为推动社会体育指导与管理专业培养模式和方向的转型与发展提供重要理论指导和借鉴。 相似文献
19.
体育产业快速发展,就业岗位衍生新需求,知识型、技能型、创新型人才已经成为企业发展中的一支生力军。高校社会体育指导与管理专业的大学生在就业中核心竞争力不突出,社会对专业认可度依然不高,社体专业大学生的就业竞争力现状问题依然是体育学科领域关注的热点话题。本文从实践的角度,结合就业指导中遇到的问题,分析社体专业大学生就业竞争力的内涵、特征、存在的新问题等。 相似文献
20.
为提高船舶航迹预测精度,解决准确建模难度大和神经网络易陷入局部最优的问题,考虑实时获取目标船AIS数据较少的特点,提出一种基于支持向量机(support vector machine,SVM)的航迹预测模型。选择AIS数据中的航速、航向和船舶经纬度作为样本特征变量;采用小波阈值去噪的方法处理训练数据;采用差分进化(differential evolution,DE)算法对模型内部参数寻优以提高模型收敛速度和预测精度。选取天津港实船某段航迹的AIS数据,比较基于DE-SVM与基于BP神经网络的航迹预测模型的仿真结果。结果表明,基于DE-SVM的航迹预测模型具有更高的预测精度,简单、可行、高效,且耗时少。 相似文献