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  • Emotions Behind Drive-by Download Propagation on Twitter
    ACM Trans. Web (IF 1.157) Pub Date : 2020-08-25
    Amir Javed; Pete Burnap; Matthew L. Williams; Omer F. Rana

    Twitter has emerged as one of the most popular platforms to get updates on entertainment and current events. However, due to its 280-character restriction and automatic shortening of URLs, it is continuously targeted by cybercriminals to carry out drive-by download attacks, where a user’s system is infected by merely visiting a Web page. Popular events that attract a large number of users are used

    更新日期:2020-08-26
  • Analyzing Genetic Testing Discourse on the Web Through the Lens of Twitter, Reddit, and 4chan
    ACM Trans. Web (IF 1.157) Pub Date : 2020-08-25
    Alexandros Mittos; Savvas Zannettou; Jeremy Blackburn; Emiliano De Cristofaro

    Recent progress in genomics has enabled the emergence of a flourishing market for direct-to-consumer (DTC) genetic testing. Companies like 23andMe and AncestryDNA provide affordable health, genealogy, and ancestry reports, and have already tested tens of millions of customers. Consequently, news, experiences, and views on genetic testing are increasingly shared and discussed on social media. At the

    更新日期:2020-08-26
  • Cold-start Point-of-interest Recommendation through Crowdsourcing
    ACM Trans. Web (IF 1.157) Pub Date : 2020-08-25
    Pramit Mazumdar; Bidyut Kr. Patra; Korra Sathya Babu

    Recommender system is a popular tool that aims to provide personalized suggestions to user about items, products, services, and so on. Recommender system has effectively been used in online social networks, especially the location-based social networks for providing suggestions for interesting places known as POIs (points-of-interest). Popular recommender systems explore historical data to learn users’

    更新日期:2020-08-26
  • Early Detection of Social Media Hoaxes at Scale
    ACM Trans. Web (IF 1.157) Pub Date : 2020-08-18
    Arkaitz Zubiaga; Aiqi Jiang

    The unmoderated nature of social media enables the diffusion of hoaxes, which in turn jeopardises the credibility of information gathered from social media platforms. Existing research on automated detection of hoaxes has the limitation of using relatively small datasets, owing to the difficulty of getting labelled data. This, in turn, has limited research exploring early detection of hoaxes as well

    更新日期:2020-08-19
  • Dynamic Offloading of Web Application Execution Using Snapshot
    ACM Trans. Web (IF 1.157) Pub Date : 2020-07-28
    Hyuk-Jin Jeong; Inchang Jeong; Soo-Mook Moon

    Mobile web platforms are facing new demands for emerging applications, such as machine learning or augmented reality, which require significant computing powers beyond that of current mobile hardware. Computation offloading can accelerate these apps by offloading the computation-intensive parts of an app from a client to a powerful server. Unfortunately, previous studies of offloading in the field

    更新日期:2020-08-18
  • On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework
    ACM Trans. Web (IF 1.157) Pub Date : 2020-06-21
    Zhiang Wu; Changsheng Li; Jie Cao; Yong Ge

    The association-rule-based approach is one of the most common technologies for building recommender systems and it has been extensively adopted for commercial use. A variety of techniques, mainly including eligible rule selection and multiple rules combination, have been developed to create effective recommendation. Unfortunately, little attention has been paid to the scalability concern of rule-based

    更新日期:2020-06-30
  • Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps
    ACM Trans. Web (IF 1.157) Pub Date : 2020-06-27
    Yun Ma; Ziniu Hu; Diandian Gu; Li Zhou; Qiaozhu Mei; Gang Huang; Xuanzhe Liu

    Smartphone applications (a.k.a., apps) have become indispensable in our everyday life and work. In practice, accomplishing a task on smartphones may require the user to navigate among various apps. Unlike Web pages that are inherently interconnected through hyperlinks, apps are usually isolated building blocks, and the lack of direct links between apps has compromised the efficiency of task completion

    更新日期:2020-06-30
  • QoS-aware Automatic Web Service Composition with Multiple Objectives
    ACM Trans. Web (IF 1.157) Pub Date : 2020-05-16
    Soumi Chattopadhyay; Ansuman Banerjee

    Automatic web service composition has received a significant research attention in service-oriented computing over decades of research. With increasing number of web services, providing an end-to-end Quality of Service (QoS) guarantee in responding to user queries is becoming an important concern. Multiple QoS parameters (e.g., response time, latency, throughput, reliability, availability, success

    更新日期:2020-05-16
  • PatternRank+NN
    ACM Trans. Web (IF 1.157) Pub Date : 2020-05-02
    Zhijun Xiao; Cuiping Li; Hong Chen

    We propose a ranking framework, called PatternRank+NN, for expanding a set of seed entities of a particular class (i.e., entity set expansion) from Web search queries. PatternRank+NN consists of two parts: PatternRank and NN. Unlike the traditional methods, PatternRank brings user behaviors into entity set expansion from Web search queries. PatternRank is a Markov chain which simulates the Web search

    更新日期:2020-05-02
  • SMINT
    ACM Trans. Web (IF 1.157) Pub Date : 2020-05-02
    Huijun Wu; Chen Wang; Richard Nock; Wei Wang; Jie Yin; Kai Lu; Liming Zhu

    Sharing a pre-trained machine learning model, particularly a deep neural network via prediction APIs, is becoming a common practice on machine learning as a service (MLaaS) platforms nowadays. Although deep neural networks (DNN) have shown remarkable successes in many tasks, they are also criticized for the lack of interpretability and transparency. Interpreting a shared DNN model faces two additional

    更新日期:2020-05-02
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