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exploration of 3 W’s of Web Marketing in the Hotel Sector – A Study Conducted at the Casa da Calçada Hotel 1st

Exploration of 3 W’s of Web Marketing in the Hotel Sector ...

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1st International conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTiiS 2021

作者： Marinho, João Almeida, Sofia Neto, Catarina Universidade Europeia Lisbon Portugal Universidade Europeia e CEG/Territur Universidade de Lisboa Lisbon Portugal

ISBN: (纸本)9783030902407

Hotels should implement new digital strategies, to become more competitive and guarantee confidence and security for their guests. In a more technological world, it is possible for hotels to gain a competitive advantage through digital and internet marketing strategies to capture potential customers. The purpose of this study is to explore the importance of webmarketing strategies in the hotel sector, namely, webdesign, webpromotion and webperfomance, using the Casa da Calçada hotel, as a case study. For this, three objectives were defined: i) to analyze the current digital marketing strategy;ii) to identify the most effective tools in the Web Marketing strategy and iii) to explore web marketing opportunities to improve the hotel’s performance on the internet. To achieve these objectives, various data collection methods were used, such as semi-structed interviews and netnography. Also, an analysis of the digital marketing strategies implemented by the hotel was carried out. Results show that the global classification achieved was 60%. Of the five categories analyzed, the criteria’s usability and promotion presented the best rating, followed by customer relationship and point of sale and price and product. At the end, limitations are identified and theoretical and practical recommendations in the hotel sector are presented, also future research is pinpointed. © 2021, Springer Nature Switzerland AG.

关键词： Hotels

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Interactive Time-Series of Measures for Exploring Dynamic Networks 20

Interactive Time-Series of Measures for Exploring Dynamic Ne...

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Working conference on Advanced visual Interfaces (AVI)

作者： Xie, Liwenhan O'Donnell, James Bach, Benjamin Fekete, Jean-Daniel Peking Univ Beijing Peoples R China Univ Edinburgh Edinburgh Midlothian Scotland Univ Paris Saclay LRI Inria CNRS Paris France

ISBN: (纸本)9781450375351

We present MeasureFlow, an interface to visually and interactively explore dynamic networks through time-series of network measures such as link number, graph density, or node activation. When networks contain many time steps, become large and more dense, or contain high frequencies of change, traditional visualizations that focus on network topology, such as animations or small multiples, fail to provide adequate overviews and thus fail to guide the analyst towards interesting time points and periods. MeasureFlow presents a complementary approach that relies on visualizing time-series of common network measures to provide a detailed yet comprehensive overview of when changes are happening and which network measures they involve. As dynamic networks undergo changes of varying rates and characteristics, network measures provide important hints on the pace and nature of their evolution and can guide an analysts in their exploration;based on a set of interactive and signal-processing methods, MeasureFlow allows an analyst to select and navigate periods of interest in the network. We demonstrate MeasureFlow through case studies with real-world data.

关键词： dynamic networks exploratory data analysis network measures interaction signal processing

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Multi-document Cohesion Network analysis: visualizing Intratextual and Intertextual Links 21st

Multi-document Cohesion Network Analysis: Visualizing Intrat...

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21st International conference on Artificial Intelligence in Education (AIED)

作者： Dascalu, Maria-Dorinela Ruseti, Stefan Dascalu, Mihai McNamara, Danielle S. Trausan-Matu, Stefan Univ Politehn Bucuresti 313 Splaiul Independentei Bucharest 060042 Romania Acad Romanian Scientists Str Ilfov 3 Bucharest 050044 Romania Arizona State Univ Dept Psychol POB 871104 Tempe AZ 85287 USA

ISBN: (纸本)9783030522407;9783030522391

Reading comprehension requires readers to connect ideas within and across texts to produce a coherent mental representation. One important factor in that complex process regards the cohesion of the document(s). Here, we tackle the challenge of providing researchers and practitioners with a tool to visualize text cohesion both within (intra) and between (inter) texts. This tool, Multidocument Cohesion Network analysis (MD-CNA), expands the structure of a CNA graph with lexical overlap links of multiple types, together with coreference links to highlight dependencies between text fragments of different granularities. We introduce two visualizations of the CNA graph that support the visual exploration of intratextual and intertextual links. First, a hierarchical view displays a tree-structure of discourse as a visual illustration of CNA links within a document. Second, a grid view available at paragraph or sentence levels displays links both within and between documents, thus ensuring ease of visualization for links spanning across multiple documents. Two use cases are provided to evaluate key functionalities and insights for each type of visualization.

关键词： Cohesion Network analysis Semantic links Lexical overlap links Coreference links Graph visualizations

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Enhancing Usability Evaluation of Web-Based Geographic Information Systems (WebGIS) with visual Analytics 11

Enhancing Usability Evaluation of Web-Based Geographic Infor...

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11th International conference on Geographic Information Science, GIScience 2021

作者： Unrau, RenÃ Kray, Christian Institute for Geoinformatics University of MÃnster Germany

ISBN: (纸本)9783959771665

Many websites nowadays incorporate geospatial data that users interact with, for example, to filter search results or compare alternatives. These web-based geographic information systems (WebGIS) pose new challenges for usability evaluations as both the interaction with classic interface elements and with map-based visualizations have to be analyzed to understand user behavior. This paper proposes a new scalable approach that applies visual analytics to logged interaction data with WebGIS, which facilitates the interactive exploration and analysis of user behavior. In order to evaluate our approach, we implemented it as a toolkit that can be easily integrated into existing WebGIS. We then deployed the toolkit in a user study (N=60) with a realistic WebGIS and analyzed usersâ interaction in a second study with usability experts (N=7). Our results indicate that the proposed approach is practically feasible, easy to integrate into existing systems, and facilitates insights into the usability of WebGIS. © LIPIcs 2020.

关键词： Geographic information systems

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CheXplain: Enabling Physicians to Explore and Understand data-Driven, AI-Enabled Medical Imaging analysis 20

CheXplain: Enabling Physicians to Explore and Understand Dat...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Xie, Yao Chen, Melody Kao, David Gao, Ge Chen, Xiang 'Anthony' Univ Calif Los Angeles HCI Res Los Angeles CA 90095 USA Univ Maryland Coll Informat Studies College Pk MD 20742 USA

ISBN: (纸本)9781450367080

The recent development of data-driven AI promises to automate medical diagnosis;however, most AI functions as 'black boxes' to physicians with limited computational knowledge. Using medical imaging as a point of departure, we conducted three iterations of design activities to formulate CheXplain-a system that enables physicians to explore and understand AI-enabled chest X-ray analysis: (i) a paired survey between referring physicians and radiologists reveals whether, when, and what kinds of explanations are needed;(ii) a low-fidelity prototype co-designed with three physicians formulates eight key features;and (iii) a high-fidelity prototype evaluated by another six physicians provides detailed summative insights on how each feature enables the exploration and understanding of AI. We summarize by discussing recommendations for future work to design and implement explainable medical AI systems that encompass four recurring themes: motivation, constraint, explanation, and justification.

关键词： Explainable artificial intelligence physician-centered design system design

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A Design Process Integrating Human-data Interaction Guidelines and Semio-Participatory Design 1

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21st International conference on Enterprise Information Systems (ICEIS)

作者： Victorelli, Eliane Zambon Dos Reis, Julio Cesar Souza Santos, Antonio Alberto Schiozer, Denis Jose Univ Campinas UNICAMP Inst Comp Campinas Brazil Univ Campinas UNICAMP Ctr Petr Studies Campinas Brazil

ISBN: (数字)9783030407834

ISBN: (纸本)9783030407834;9783030407827

Software tools that facilitate human interaction with data play a key role in the understanding of information from large masses of data. Interaction design in the domain of petroleum field exploration is a challenging task, in part because of its complex intrinsic context, and the lack of methodological framework to support design activities. The use of guidelines builds on the expertise of design specialists, but does not leverage the knowledge of the various stakeholders in the problem. In this article, we advocate a more socially comprehensive approach to the design of Human-data Interaction (HDI) applications, articulating design guidelines with artifacts and methods from Organizational Semi-otics and Participatory Design. Our investigation defines a process for the design of visual data analysis tools and conducts a case study in the context of petroleum production strategy with the participation of key stakeholders. We propose practices for each step of our design process. Adapted participatory practices combined with design guidelines were used to clarify the problem, design the solution, and evaluate the prototype. Participants showed satisfaction with the employed design practices and the outcomes.

关键词： Human-data Interaction Participatory design visual analytics

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Web-based 3D HSV color data gathering and visualization for applied cinemetrics: A case study in Hayao Miyazaki's animated motion pictures 2020

Web-based 3D HSV color data gathering and visualization for ...

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3rd International conference on Web Studies: Emergent of the Web in Multicultural Contexts, WS.3 2020

作者： Isaac, Carlos G Mexico

ISBN: (纸本)9781450388856

The tasks of judgment and criticism in cinema have been based predominantly on interpretive methods to establish their disciplinary mechanisms. Nowadays, the web's possibilities for supporting artificial intelligence, mathematics, and statistical computing techniques applied to the communication and humanities phenomena, such as the visual narrative arts, allows the development of new tools that aim at exploring the use of quantitative instrumentation for film analysis. Color grouping via K-Means Clustering and JavaScript based graphic visualization and data management, are procedures that web-based services can exploit for a quantitative film analysis. The methods discussed in this paper are examined under Miyazaki's animated films and shows a measurable relationship between the director's creative process and the perceptual dominant colors in the films. Furthermore, our proposed solution applies the combination and the exploration of such technologies for a web-based tool that helps researchers, scholars, filmmakers, and designers to gather color data from video media and to visualize them according to a 3D HSV/HSB graphical model. © 2020 ACM.

关键词： Color

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BDCAT 2019 - Proceedings of the 6th IEEE/ACM International conference on Big data Computing, Applications and Technologies

BDCAT 2019 - Proceedings of the 6th IEEE/ACM International C...

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6th IEEE/ACM International conference on Big data Computing, Applications and Technologies, BDCAT 2019

ISBN: (纸本)9781450370165

The proceedings contain 23 papers. The topics discussed include: rapid, progressive sub-graph explorations for interactive visual analytics over large-scale graph datasets;GPU acceleration of range queries over large data sets;going deeper or wider: throughput prediction for cluster tools with machine learning;accelerating machine learning I/O by overlapping data staging and mini-batch generations;cryptocurrency price prediction using time series and social sentiment data;an exploration of commuter travel time through social media analytics on the cloud;a simple and efficient federated recommender system;an analysis of slant in tweets: case study;and crowd-counting through a cascaded, multi-task convolutional neural network.

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analysis on the performance of VIO according to Trajectory Planning of UAV 20

Analysis on the performance of VIO according to Trajectory P...

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20th International conference on Control, Automation and Systems (ICCAS)

作者： Lee, EungChang Mason Myung, Hyun Korea Adv Inst Sci & Technol Sch Elect Engn KI AI KI R Daejeon 34141 South Korea

ISBN: (纸本)9788993215199

Recently, Unmanned Aerial Vehicles (UAVs) have been widely researched to accomplish tasks such as structural inspection, drone racing, and exploration of an unknown environment. To make the most of UAV and correctly estimate its pose with inexpensive and light-weight sensors such as Inertial Measurement Unit (IMU) and cameras, visual Inertial Odometry (VIO) has been intensively researched. There were a few analyses on the performance of VIO methods where only estimated pose error and utilization of the computing resources were considered. However, the performance of them according to trajectory planning was not treated. Trajectory planning can be one of the main reasons for the drift of localization from VIO since the sensors acquire the data at their sampling rates. In this paper, we analyze the performance of VIO on various trajectories that have different orders of polynomials for the desired position over time and hence different velocity, acceleration, and the first, second derivative of acceleration, using simulator which reflects the real dynamics of UAV. As a result, the higher the order of polynomial for trajectory, the better performance of VIO can be observed.

关键词： Indoor Navigation visual Inertial Odometry Unmanned Aerial Vehicle Trajectory Planning Control

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Toward visual interactive exploration of heterogeneous graphs 23

Toward visual interactive exploration of heterogeneous graph...

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Workshops of the 23rd International conference on Extending database Technology/23rd International conference on database Theory, EDBT-ICDT-WS 2020

作者： Burger, Irène Manolescu, Ioana Pietriga, Emmanuel Suchanek, Fabian Institut Polytechnique de Paris Inria Palaiseau France Inria Institut Polytechnique de Paris Palaiseau France Univ. Paris-Saclay Cnrs Inria Orsay France Télécom Paris Institut Polytechnique de Paris Palaiseau France

An interesting class of heterogeneous datasets, encountered for instance in data journalism applications, results from the interconnection of data sources of different data models, ranging from very structured (e.g., relational or graphs) to semistructured (e.g., JSON, HTML, XML) to completely unstructured (text). Such heterogeneous graphs can be exploited e.g., by keyword search, to uncover connection between search keywords [1]. In this paper, we present a vision toward making such graphs easily comprehensible by human users, such as journalists seeking to understand and explore them. Our proposal is twofold: (i) abstracting the graph by recognizing structured entities;this simplifies the graph without information loss;(ii) relying on data visualization techniques to help users grasp the graph contents. Our work in this area continues;we present preliminary encouraging results. © 2020 Copyright for this paper by its author(s).

关键词： data visualization

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