New Review of Hypermedia and Multimedia最新文献

{"title":"A novel framework to alleviate the sparsity problem in context-aware recommender systems","authors":"Penghua Yu, Lanfen Lin, Jing Wang","doi":"10.1080/13614568.2016.1152319","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152319","url":null,"abstract":"ABSTRACT Recommender systems have become indispensable for services in the era of big data. To improve accuracy and satisfaction, context-aware recommender systems (CARSs) attempt to incorporate contextual information into recommendations. Typically, valid and influential contexts are determined in advance by domain experts or feature selection approaches. Most studies have focused on utilizing the unitary context due to the differences between various contexts. Meanwhile, multi-dimensional contexts will aggravate the sparsity problem, which means that the user preference matrix would become extremely sparse. Consequently, there are not enough or even no preferences in most multi-dimensional conditions. In this paper, we propose a novel framework to alleviate the sparsity issue for CARSs, especially when multi-dimensional contextual variables are adopted. Motivated by the intuition that the overall preferences tend to show similarities among specific groups of users and conditions, we first explore to construct one contextual profile for each contextual condition. In order to further identify those user and context subgroups automatically and simultaneously, we apply a co-clustering algorithm. Furthermore, we expand user preferences in a given contextual condition with the identified user and context clusters. Finally, we perform recommendations based on expanded preferences. Extensive experiments demonstrate the effectiveness of the proposed framework.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43245675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Scratch4SL and Second Life to motivate high school students’ participation in introductory programming courses: findings from a case study","authors":"Nikolaos Pellas, Efstratios Peroutseas","doi":"10.1080/13614568.2016.1152314","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152314","url":null,"abstract":"ABSTRACT Students in secondary education strive hard enough to understand basic programming concepts. With all that is known regarding the benefits of programming, little is the published evidence showing how high school students can learn basic programming concepts following innovative instructional formats correctly with the respect to gain/enhance their computational thinking skills. This distinction has caused lack of their motivation and interest in Computer Science courses. This case study presents the opinions of twenty-eight (n = 28) high school students who participated voluntarily in a 3D-game-like environment created in Second Life. This environment was combined with the 2D programming environment of Scratch4SL for the implementation of programming concepts (i.e. sequence and concurrent programming commands) in a blended instructional format. An instructional framework based on Papert's theory of Constructionism to assist students how to coordinate or manage better the learning material in collaborative practice-based learning activities is also proposed. By conducting a mixed-method research, before and after finishing several learning tasks, students’ participation in focus group (qualitative data) and their motivation based on their experiences (quantitative data) are measured. Findings indicated that an instructional design framework based on Constructionism for acquiring or empowering students’ social, cognitive, higher order and computational thinking skills is meaningful. Educational implications and recommendations for future research are also discussed.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152314","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44644080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How the structure of Wikipedia articles influences user navigation.","authors":"Daniel Lamprecht,&nbsp;Kristina Lerman,&nbsp;Denis Helic,&nbsp;Markus Strohmaier","doi":"10.1080/13614568.2016.1179798","DOIUrl":"https://doi.org/10.1080/13614568.2016.1179798","url":null,"abstract":"<p><p>In this work we study how people navigate the information network of Wikipedia and investigate (i) free-form navigation by studying all clicks within the English Wikipedia over an entire month and (ii) goal-directed Wikipedia navigation by analyzing wikigames, where users are challenged to retrieve articles by following links. To study how the organization of Wikipedia articles in terms of layout and links affects navigation behavior, we first investigate the characteristics of the structural organization and of hyperlinks in Wikipedia and then evaluate link selection models based on article structure and other potential influences in navigation, such as the generality of an article's topic. In free-form Wikipedia navigation, covering all Wikipedia usage scenarios, we find that click choices can be best modeled by a bias towards article structure, such as a tendency to click links located in the lead section. For the goal-directed navigation of wikigames, our findings confirm the zoom-out and the homing-in phases identified by previous work, where users are guided by generality at first and textual similarity to the target later. However, our interpretation of the link selection models accentuates that article structure is the best explanation for the navigation paths in all except these initial and final stages. Overall, we find evidence that users more frequently click on links that are located close to the top of an article. The structure of Wikipedia articles, which places links to more general concepts near the top, supports navigation by allowing users to quickly find the better-connected articles that facilitate navigation. Our results highlight the importance of article structure and link position in Wikipedia navigation and suggest that better organization of information can help make information networks more navigable.</p>","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1179798","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35135566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subjective video quality evaluation of different content types under different impairments","authors":"Laura Pozueco, Alberto Álvarez, X. G. Pañeda, Roberto García, David Melendi, Gabriel Díaz","doi":"10.1080/13614568.2016.1152310","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152310","url":null,"abstract":"ABSTRACT Nowadays, access to multimedia content is one of the most demanded services on the Internet. However, the transmission of audio and video over these networks is not free of problems that negatively affect user experience. Factors such as low image quality, cuts during playback or losses of audio or video, among others, can occur and there is no clear idea about the level of distortion introduced in the perceived quality. For that reason, different impairments should be evaluated based on user opinions, with the aim of analyzing the impact in the perceived quality. In this work, we carried out a subjective evaluation of different types of impairments with different types of contents, including news, cartoons, sports and action movies. A total of 100 individuals, between the ages of 20 and 68, participated in the subjective study. Results show that short-term rebuffering events negatively affect the quality of experience and that desynchronization between audio and video is the least annoying impairment. Moreover, we found that the content type determines the subjective results according to the impairment present during the playback.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152310","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44313406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Orchestrating learning during implementation of a 3D virtual world","authors":"T. Karakus, Ozlem Baydas, Fatma Gunay, Murat Çoban, Y. Goktas","doi":"10.1080/13614568.2016.1179797","DOIUrl":"https://doi.org/10.1080/13614568.2016.1179797","url":null,"abstract":"ABSTRACT There are many issues to be considered when designing virtual worlds for educational purposes. In this study, the term orchestration has acquired a new definition as the moderation of problems encountered during the activity of turning a virtual world into an educational setting for winter sports. A development case showed that community plays a key role in both the emergence of challenges and in the determination of their solutions. The implications of this study showed that activity theory was a useful tool for understanding contextual issues. Therefore, instructional designers first developed relevant tools and community-based solutions. This study attempts to use activity theory in a prescriptive way, though it is known as a descriptive theory. Finally, since virtual world projects have many aspects, the variety of challenges and practical solutions presented in this study will provide practitioners with suggestions on how to overcome problems in future.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1179797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60344864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Some reflections upon Internet TV in the Brazilian context","authors":"Rodrigo de Lima-Lopes","doi":"10.1080/13614568.2016.1152309","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152309","url":null,"abstract":"ABSTRACT Negroponte [1996. Being digital (1st ed.). New York, NY: Vintage Books] discusses the migration television might take from its air-based broadcasting to the digital environment. This paper takes into consideration the exercise in futurology made by Negroponte [1996. Being digital (1st ed.). New York, NY: Vintage Books] as an inspiration to discuss which Internet TV models are currently adopted in Brazil. They are studied in terms of the platforms used and the nature of the channels available. Results show that a number of devices can be used for Internet TV; some channels are redundant, since they are present in more than one context. There are a number of foreign (broadcasting in their own language) and Brazilian channels that seem to be exclusive in each device. Due to the price of some devices, as well as some issues regarding connectivity in Brazil, some platforms seem to lack local production.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60344285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"QoS prediction for Web service in Mobile Internet environment","authors":"Qibo Sun, Lubao Wang, Shangguang Wang, You Ma, Ching-Hsien Hsu","doi":"10.1080/13614568.2016.1152315","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152315","url":null,"abstract":"ABSTRACT Quality of Services (QoS) prediction plays an important role in Web service recommendation. Many existing Web service QoS prediction approaches are highly accurate and useful in Internet environments. However, the QoS data of Web service in Mobile Internet are notably more volatile, which makes these approaches fail in making accurate QoS predictions of Web services. In this paper, by weakening the volatility of QoS data, we propose an accurate Web service QoS prediction approach based on the collaborative filtering algorithm. This approach contains three processes, that is, QoS preprocessing, user similarity computing and QoS predicting. We have implemented our proposed approach with an experiment based on real-world and synthetic datasets. The results demonstrate that our approach outperforms other approaches in Mobile Internet.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60344510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficient scheme for automatic web pages categorization using the support vector machine","authors":"V. Bhalla, N. Kumar","doi":"10.1080/13614568.2016.1152316","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152316","url":null,"abstract":"ABSTRACT In the past few years, with an evolution of the Internet and related technologies, the number of the Internet users grows exponentially. These users demand access to relevant web pages from the Internet within fraction of seconds. To achieve this goal, there is a requirement of an efficient categorization of web page contents. Manual categorization of these billions of web pages to achieve high accuracy is a challenging task. Most of the existing techniques reported in the literature are semi-automatic. Using these techniques, higher level of accuracy cannot be achieved. To achieve these goals, this paper proposes an automatic web pages categorization into the domain category. The proposed scheme is based on the identification of specific and relevant features of the web pages. In the proposed scheme, first extraction and evaluation of features are done followed by filtering the feature set for categorization of domain web pages. A feature extraction tool based on the HTML document object model of the web page is developed in the proposed scheme. Feature extraction and weight assignment are based on the collection of domain-specific keyword list developed by considering various domain pages. Moreover, the keyword list is reduced on the basis of ids of keywords in keyword list. Also, stemming of keywords and tag text is done to achieve a higher accuracy. An extensive feature set is generated to develop a robust classification technique. The proposed scheme was evaluated using a machine learning method in combination with feature extraction and statistical analysis using support vector machine kernel as the classification tool. The results obtained confirm the effectiveness of the proposed scheme in terms of its accuracy in different categories of web pages.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60344579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems","authors":"Hosun Yoo, O. Kwon, Namyeon Lee","doi":"10.1080/13614568.2016.1152312","DOIUrl":"https://doi.org/10.1080/13614568.2016.1152312","url":null,"abstract":"ABSTRACT With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1152312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60344391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human-centric information technology and applications towards web 3.0","authors":"Seungmin Rho, Yu Chen","doi":"10.1080/13614568.2016.1202474","DOIUrl":"https://doi.org/10.1080/13614568.2016.1202474","url":null,"abstract":"Nowadays, many people can participate in intelligence production through various processes, such as publications, distributions, and services. In order to recognize, interpret, and process opinions and sentiments over the web, sentiment analysis is emerging as an important issue in human-centric information technology. Paradigms of sentiment analysis such as machineunderstandable web and human-centric web offer a promising and potential solution to mining and analyzing the very large and varied web data. To improve computers’ understanding of human-centric information, relationship analysis between persons with shared common sense information known to everyone is necessary. The seven papers in this Special Issue address some of the challenges inherent in this. The first paper “Human Likeness: Cognitive and Affective Factors Affecting Adoption of Robot-Assisted Learning Systems” by Hosun Yoo, Ohbyung Kwon, and Namyeon Lee proposes an integrated theoretical model, which explains the effect of human likeness of robots on user’s propensity to adopt robot-assisted learning systems. The human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and parasocial relationships. To validate the proposed model, a robot-assisted learning prototype was utilized and survey data were collected from general users. The resulting data were empirically tested, and the test results were provided and analyzed. The second paper entitled “Predicting Personality Traits Related to Consumer Behavior using SNS Analysis” by Baik et al. proposes a method for predicting the four personality traits – (1) Extroversion, (2) Public Self-Consciousness, (3) Desire for Uniqueness, and (4) Self-Esteem – that correlate with buying behaviors in the recent consumer behavior discipline. They also propose another method to analyze user behaviors in a social network service by using user behavior matrix, friendship analysis, and route analysis. In the third paper entitled “An Efficient Scheme for Automatic Web Pages Categorization using Support Vector Machine”, Vinod Kumar Bhalla and Neeraj Kumar proposes a support vector machine (SVM)-based web page categorization, which is based on identification of specific and relevant features of the web pages. They also developed a feature extraction tool based on the HTML-DOM of web page. They evaluated the proposed scheme using SVM kernel as a classification tool in combination with feature extraction and statistical analysis. The fourth paper entitled “Sentiment Classification Technology Based on Markov Logic Networks” by Hui He, Zhigang Li, Chongchong Yao, and Weizhe Zhang presents a crossdomain multi-task text sentiment classification method based on Markov Logic Networks. Through many-to-one knowledge transfer, labeled text sentiment classification knowledge was successfully transferred into other domains, and the precision of the sentiment classification analysis in the text tendency domain was imp","PeriodicalId":54386,"journal":{"name":"New Review of Hypermedia and Multimedia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614568.2016.1202474","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60345018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}