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Predicting the User Intention in Web Search 预测网络搜索中的用户意图
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479625
Gilson dos Reis Dias Fonseca, J. Souza, E. Barrére
The search for information is inherent to the human being and with the popularization of computers, search systems have become the main source of obtaining knowledge. However, they do not support greater user interaction when they want to do a complex search. It is important to evaluate the user and infer information about him, to know his intention to search to increase the performance of these systems under the principles of SaL. In this paper, we propose a model for classifying the search intention using Transformers. It was used an available dataset and we obtained 97% accuracy in the validation set and 99% f-measure in the test set, achieving better results when comparing to traditional methods.
对信息的搜索是人类的天性,随着计算机的普及,搜索系统已经成为获取知识的主要来源。但是,当需要进行复杂的搜索时,它们不支持更好的用户交互。重要的是评估用户并推断有关他的信息,了解他的搜索意图,以便在SaL原则下提高这些系统的性能。本文提出了一种基于transformer的搜索意图分类模型。它使用了一个可用的数据集,我们在验证集中获得了97%的准确率,在测试集中获得了99%的f-measure,与传统方法相比取得了更好的结果。
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引用次数: 0
A contextual approach to improve the user's experience in interactive recommendation systems 一种改善交互式推荐系统中用户体验的上下文方法
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479621
N. Silva, Heitor Werneck, Thiago Silva, A. Pereira, Leonardo Rocha
Recommendation Systems have concerned about the online environment of real-world scenarios where the system should continually learn and predict new recommendations. Current works have handled it as a Multi-Armed Bandit (MAB) problem by proposing parametric bandit models based on the main recommendation concepts to handle the exploitation and exploration dilemma. However, recent works identified a new problem about the way these models handle the user cold-start. Due to the lack of information about the user, these models have intrinsically delivered naive non-personalized recommendations in their first recommendations until the system learns more about the user. The first recommendations of these bandit models are equivalent to a random selection around the items (i.e., a pure-exploration approach) or a biased selection by the most popular items in the system (i.e., a pure-exploitation approach). Thus, to mitigate this problem, we propose a new contextual approach to initialize the bandit models. This context is made by the information available about the items: their popularity and entropy. The idea is to address both exploration and exploitation goals since the first recommendations by mixing entropic and popular items. Indeed, this approach maximizes the user's satisfaction in the long-term run. By a strong experimental evaluation, comparing our proposal with seven state-of-the-art methods in three real datasets, we demonstrate this context achieves statistically significant improvements by outperforming all baselines.
推荐系统关注现实世界场景的在线环境,系统应该不断学习和预测新的建议。目前的研究将其作为一个多武装盗匪(Multi-Armed Bandit, MAB)问题来处理,提出了基于主要推荐概念的参数化盗匪模型来处理开发和勘探困境。然而,最近的研究发现了一个关于这些模型处理用户冷启动方式的新问题。由于缺乏关于用户的信息,这些模型本质上在它们的第一次推荐中提供了幼稚的非个性化推荐,直到系统了解更多关于用户的信息。这些强盗模型的第一个建议相当于围绕物品的随机选择(即,纯探索方法)或系统中最受欢迎的物品的有偏见选择(即,纯开发方法)。因此,为了缓解这个问题,我们提出了一种新的上下文方法来初始化强盗模型。这个上下文是由关于项目的可用信息构成的:它们的受欢迎程度和熵。这个想法是通过混合熵项和流行项来解决探索和开发目标。事实上,从长远来看,这种方法最大限度地提高了用户的满意度。通过强有力的实验评估,将我们的建议与三个真实数据集中的七种最先进的方法进行比较,我们证明了这一背景通过优于所有基线实现了统计上显着的改进。
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引用次数: 4
Towards a Pragmatic Interoperability on the MIDAS Middleware 迈向MIDAS中间件的实用互操作性
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479459
Elivaldo Lozer Fracalossi Ribeiro, L. E. N. Jesus, Daniela Barreiro Claro, Natan Moura
Nowadays, many organizations store and publish their data and services based on the Cloud Computing paradigm. In this scenario, cloud consumers access these resources anytime and anywhere. Software as a Service (SaaS) and Data as a Service are examples of cloud services. While DaaS delivers and manages data on-demand, SaaS is a delivery model of applications in a cloud environment. However, the vast amount of social data and applications enable different formats of DaaS, such as non-structured (e.g., text), semi-structured (e.g., JSON), and structured format (e.g., Relational Database). The lack of standardization makes users dependent on a system due to the lack of interoperability among different providers. Interoperability is heterogeneous systems' ability to communicate transparently, and it is classified into syntactic, semantic, and pragmatic levels. Middleware for SaaS and DaaS (MIDAS) is a solution to provide interoperability among cloud services. Although the latest version of MIDAS promotes a semantic approach, pragmatic aspects are not addressed. This paper enhances MIDAS to provide pragmatic interoperability in a cloud environment. Our approach presents the necessary elements that MIDAS must consider to provide pragmatic interoperability among cloud services. We conduct a set of experiments to validate our pragmatic MIDAS. We evaluate the overhead of our approach, the correctness of our novel MIDAS, and the effort to implement the MIDAS middleware with dynamic pragmatic information. Results evidence that our approach is towards pragmatic interoperability among cloud services.
如今,许多组织基于云计算范式存储和发布他们的数据和服务。在此场景中,云消费者可以随时随地访问这些资源。软件即服务(SaaS)和数据即服务是云服务的例子。DaaS按需交付和管理数据,而SaaS是云环境中应用程序的交付模型。然而,大量的社交数据和应用程序支持不同格式的DaaS,如非结构化(如文本)、半结构化(如JSON)和结构化格式(如关系数据库)。由于不同提供者之间缺乏互操作性,缺乏标准化使得用户依赖于系统。互操作性是异构系统透明通信的能力,可分为语法、语义和实用级别。用于SaaS和DaaS的中间件(MIDAS)是一种提供云服务之间互操作性的解决方案。尽管最新版本的MIDAS促进了语义方法,但没有解决实用方面的问题。本文增强了MIDAS,以便在云环境中提供实用的互操作性。我们的方法提供了MIDAS必须考虑的必要元素,以便在云服务之间提供实用的互操作性。我们进行了一组实验来验证我们的实用MIDAS。我们评估了方法的开销、新MIDAS的正确性,以及用动态实用信息实现MIDAS中间件的工作量。结果表明,我们的方法是实现云服务之间的实用互操作性。
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引用次数: 0
Systematic mapping of the literature on mobile apps for people with Autistic Spectrum Disorder 针对自闭症谱系障碍患者的移动应用程序的文献系统映射
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479616
Maico Krause, Macilon Araújo Costa Neto
The advancement of mobile technologies combined with assistive technologies can provide autonomy to people with different types of disabilities, including those with Autistic Spectrum Disorder (ASD). Technologies, such as those found in mobile devices, are very attractive to people with ASD and can be used as a valuable educational tool for these individuals. The aim of this study was to learn about how mobile apps aimed at people with ASD are developed and evaluated, carried out through a systematic mapping of applications aimed at people with ASD, in order to better understand their foundations, motivations, evaluation mode, resources and user profile. The results indicated that the main procedures used to support the applications for people with ASD are the questionnaires to identify the ASD, such as the CHAT and AQ-10, and the ABA intervention, and that these applications, mostly, seek to identify the ASD in a practical way and at a low cost. Most of the apps were evaluated by usability testing and through indirect observation through the app's logs. The most used hardware and software resources are the mobile device camera and convolutional neural networks (CNN), respectively, with most applications aimed at children and the most common software engineering methodologies were requirements analysis and prototyping.
移动技术的进步与辅助技术相结合,可以为不同类型的残疾人,包括自闭症谱系障碍(ASD)患者提供自主性。技术,比如在移动设备中发现的技术,对自闭症患者非常有吸引力,可以作为这些人有价值的教育工具。本研究的目的是了解针对ASD患者的移动应用程序是如何开发和评估的,通过对针对ASD患者的应用程序进行系统的映射,以便更好地了解它们的基础、动机、评估模式、资源和用户概况。结果表明,支持ASD患者申请的主要程序是识别ASD的问卷,如CHAT和AQ-10,以及ABA干预,这些应用大多寻求以实用和低成本的方式识别ASD。大多数应用都是通过可用性测试和间接观察应用日志来评估的。使用最多的硬件和软件资源分别是移动设备摄像头和卷积神经网络(CNN),大多数应用程序针对儿童,最常见的软件工程方法是需求分析和原型设计。
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引用次数: 3
How Twitter has been used for share pedophilia content in 2020: An empirical study 2020年Twitter是如何被用来分享恋童癖内容的:一项实证研究
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479473
Raphael Reis Coelho, Jonice Oliveira
Social media allows users to consume a wide range of topics and content, such as pornography. The consumption of pornography, as well as the problems associated with this type of material, has grown over the years, especially among adolescents. Now, another type of pornographic content has been widely consumed: child pornography. Are social media helping to spread this content? To understand this issue, a survey was conducted based on data regarding the consumption of child pornography extracted from Twitter in 2020, followed by a series of analyzes that show a possible impact of twitter on the dissemination and consumption of this type of content.
社交媒体允许用户消费广泛的主题和内容,例如色情内容。色情的消费,以及与这类材料相关的问题,多年来一直在增长,特别是在青少年中。现在,另一种类型的色情内容已经被广泛消费:儿童色情。社交媒体是否有助于传播这些内容?为了理解这个问题,我们根据2020年从Twitter上提取的儿童色情消费数据进行了一项调查,随后进行了一系列分析,显示Twitter对这类内容的传播和消费可能产生的影响。
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引用次数: 2
PixRadio: a new anaglyphic reversion technique based on radiometric differences reduction PixRadio:一种新的基于辐射差消减的拼字还原技术
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479619
André Luiz N. Targino da Costa, F. M. Rodrigues, R. Goularte
Anaglyph Stereo Matching is a particular, harder, case of the widely studied Stereo Matching algorithms. When applied to Anaglyph Reversion problem helps to improve stereo content storage and transmission, stereoscopic visualization independence and access to legacy anaglyph content available on the Web. However, the reversion process is not trivial since anaglyphs have high radiometric differences between the two views of a stereo pair of images, preventing standard stereo matching algorithms to be directly used. Different from related work, this paper presents a new pixel descriptor specially designed to deal with radiometric differences, allowing for the improvement of the final reconstructed stereo pair image quality. Experimental results show the proposed method presents, in average, better image quality when compared with related techniques.
浮雕立体匹配是一个特殊的,困难的,广泛研究的立体匹配算法的情况。当应用于立体图像还原问题时,有助于改善立体图像内容的存储和传输、立体图像可视化的独立性以及对Web上可用的遗留立体图像内容的访问。然而,由于立体图像对的两个视图之间的解析具有很高的辐射差异,因此还原过程并非微不足道,因此无法直接使用标准的立体匹配算法。与相关工作不同,本文提出了一种新的像素描述符,专门用于处理辐射差异,从而提高最终重建的立体对图像质量。实验结果表明,与相关技术相比,该方法具有更好的图像质量。
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引用次数: 0
ReVera Framework: A Framework for Fact Checking Traceability ReVera框架:事实检查可追溯性的框架
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479626
João Victor de Souza, Elias Cyrino Assis, F. Mendonça, Jairo Francisco de Souza
Professional fact-checking tends to be costly and scalability challenging. For this reason, a series of methods to automate this process has been emerging. Unfortunately, these methods have been created with monolithic architectures, not making use of pre-built parts, and are harder to be understood by others. This work aims to propose a framework, where the development of methods can be done in a modular manner, creating workflows based on key steps that can be linked together to generate the input classification. For this, a study of the literature was conducted to identify the main processing steps of the methods, seeking to develop a solution that would guarantee flexibility of execution and interoperability between the different processing components. With this, the automatic verification process was described in a limited set of steps that can be performed, creating independent components that implement each of them. The framework makes use of a proposed data traceability ontology to map all generated data during execution under a unified vocabulary, which facilitates communication between these independent components.
专业的事实核查往往成本高昂,可扩展性也具有挑战性。因此,出现了一系列自动化此过程的方法。不幸的是,这些方法都是用整体架构创建的,没有使用预先构建的部件,并且很难被其他人理解。这项工作旨在提出一个框架,其中方法的开发可以以模块化的方式完成,创建基于关键步骤的工作流,这些步骤可以链接在一起以生成输入分类。为此,对文献进行了研究,以确定方法的主要处理步骤,寻求开发一种解决方案,以保证执行的灵活性和不同处理组件之间的互操作性。这样,自动验证过程就被描述为可以执行的一组有限的步骤,创建实现每个步骤的独立组件。该框架利用提出的数据可跟踪本体在统一词汇表下映射执行期间生成的所有数据,从而促进这些独立组件之间的通信。
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引用次数: 0
A Sentiment-Based Multimodal Method to Detect Fake News 基于情感的多模态假新闻检测方法
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479467
Igor Maffei Libonati Maia, M. Souza, Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, R. Goldschmidt
The dissemination of news through digital media has amplified Fake News proliferation. In the face of this scenario, sentiment-based methods have presented promising results in Fake News detection. Although sentiment-based methods can extract sentiment (i.e., polarity and/or emotion) from either texts or images available in news, the ones applied to Portuguese-written news have considered sentiment exclusively extracted from texts. Thus, this study proposes a multimodal method that, besides the polarity and emotions extracted from texts, also considers sentiment extracted from news' images in order to detect Fake News written in Portuguese. The proposed method showed promising results in experimental data, overcoming the baseline methods in 8 p.p.
通过数字媒体传播新闻加剧了假新闻的泛滥。面对这种情况,基于情绪的方法在假新闻检测中表现出了令人鼓舞的结果。虽然基于情感的方法可以从新闻中可用的文本或图像中提取情感(即极性和/或情感),但应用于葡萄牙语书面新闻的方法只考虑从文本中提取的情感。因此,本研究提出了一种多模态方法,除了从文本中提取极性和情感外,还考虑了从新闻图像中提取的情感,以检测葡萄牙语写的假新闻。该方法在实验数据中取得了令人满意的结果,克服了8pp的基线方法。
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引用次数: 5
PhysioAR: An augmented reality system applied in respiratory physiotherapy for hypertensive patients PhysioAR:一种用于高血压患者呼吸物理治疗的增强现实系统
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479615
Matheus V. da Silva, F. Pacagnelli, Leandro L. de Almeida, Robson A. Siscoutto
Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Approximately 1.13 billion people suffer from arterial hypertension (AH), a condition that stands out among all other CVD risk factors. One of the main non-pharmacological treatments for AH is the performance of physical activities. Studies have also demonstrated the possibility of blood pressure control through the application of breathing exercises. Such exercises can be performed even at home. Due to the limitations concerning physical exercise for patients with uncontrolled hypertension, clinicians often have their patients conduct breathing exercises before a physiotherapy session for blood pressure reduction purposes. However, more tools are needed to assist clinicians with this approach. Considering these circumstances, this paper introduces PhysioAR, an augmented reality system designed to assist in respiratory therapy treatments for hypertensive patients. Using three-dimensional virtual environments and specific hardware for vital sign measurements, PhysioAR enables the creation and application of respiratory therapy sessions by a physiotherapist professional. At the end of its development, a group of usability experts evaluated the system through a questionnaire based on Nielsen's heuristic evaluation of user interfaces. After evaluation, PhysioAR obtained an average performance of 4.3 by the Likert scale. All evaluators agreed that using the system was a pleasant experience, which suggests that PhysioAR has potential for physiotherapy clinics. The questionnaire application exposed some user experience problems. This demonstrated the effectiveness of a questionnaire-based evaluation to identify possible system problems.
心血管疾病(cvd)是世界范围内死亡的主要原因。大约有11.3亿人患有动脉高血压(AH),这是所有其他心血管疾病风险因素中最突出的一种。AH的主要非药物治疗方法之一是体育活动的表现。研究也证明了通过呼吸练习控制血压的可能性。这样的练习甚至可以在家里进行。由于高血压未控制患者的体育锻炼的局限性,临床医生经常让患者在物理治疗前进行呼吸练习,以达到降血压的目的。然而,需要更多的工具来帮助临床医生采用这种方法。考虑到这些情况,本文介绍了PhysioAR,一种增强现实系统,旨在协助高血压患者的呼吸治疗。PhysioAR使用三维虚拟环境和特定硬件进行生命体征测量,使物理治疗师专业人员能够创建和应用呼吸治疗课程。在开发结束时,一组可用性专家通过基于尼尔森用户界面启发式评估的问卷对系统进行了评估。经评估,PhysioAR在Likert量表中获得平均4.3分。所有评估人员一致认为使用该系统是一种愉快的体验,这表明PhysioAR在物理治疗诊所具有潜力。问卷调查应用程序暴露了一些用户体验问题。这证明了基于问卷的评估识别可能的系统问题的有效性。
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引用次数: 0
A Mobile Tool for Collecting and Labeling Data on Twitter's Network Sociability Practices 收集和标记Twitter网络社交实践数据的移动工具
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479438
Guilherme Augusto da Silva Ferreira, Alan Keller Gomes
This work presents a mobile tool for collecting and labeling data about Twitter's sociability practices. Such data are related to the execution of functionalities such as Tweet, Comment, Retweet and Like. During the capture, the data are labeled with a sequence of actions, which is learned via the GSP algorithm, and the polarity of sentiment contained in the tweet. At the end, the data are processed to compute the volume of Bourdieusian Social Capital (BSC) of the profile and are also available for the user of the tool to export them. In addition, the composition of the BSC from the polarity of sentiment is computed.
这项工作提出了一个移动工具,用于收集和标记有关Twitter社交实践的数据。这些数据与Tweet、Comment、Retweet和Like等功能的执行有关。在捕获过程中,数据被标记为一系列动作,这是通过GSP算法学习的,以及tweet中包含的情绪极性。最后,对数据进行处理以计算配置文件的布尔迪厄社会资本(BSC)的量,并且也可供工具的用户导出它们。此外,根据情感极性计算平衡记分卡的组成。
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引用次数: 1
期刊
Proceedings of the Brazilian Symposium on Multimedia and the Web
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