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  • Attributed Collaboration Network Embedding for Academic Relationship Mining
    ACM Trans. Web (IF 1.157) Pub Date : 2020-11-21
    Wei Wang; Jiaying Liu; Tao Tang; Suppawong Tuarob; Feng Xia; Zhiguo Gong; Irwin King

    Finding both efficient and effective quantitative representations for scholars in scientific digital libraries has been a focal point of research. The unprecedented amounts of scholarly datasets, combined with contemporary machine learning and big data techniques, have enabled intelligent and automatic profiling of scholars from this vast and ever-increasing pool of scholarly data. Meanwhile, recent

    更新日期:2020-11-25
  • Investigating and Modeling the Web Elements’ Visual Feature Influence on Free-viewing Attention
    ACM Trans. Web (IF 1.157) Pub Date : 2020-11-05
    Sandeep Vidyapu; Vijaya Saradhi Vedula; Samit Bhattacharya

    User attentional analyses on web elements help in synthesis and rendering of webpages. However, majority of the existing analyses are limited in incorporating the intrinsic visual features of text and images. This study aimed to analyze the influence of elements’ visual features (font-size, font-family, color, etc., for text; and brightness, color, intensity, etc., for images) besides their position

    更新日期:2020-11-06
  • A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA
    ACM Trans. Web (IF 1.157) Pub Date : 2020-11-05
    Shawn Bailey; Yue Zhang; Arti Ramesh; Jennifer Golbeck; Lise Getoor

    Alcoholism, also known as Alcohol Use Disorder (AUD), is a serious problem affecting millions of people worldwide. Recovery from AUD is known to be challenging and often leads to relapse at various points after enrolling in a rehabilitation program such as Alcoholics Anonymous (AA). In this work, we present a structured and linguistic approach using hinge-loss Markov random fields (HL-MRFs) to understand

    更新日期:2020-11-06
  • CBPCS: A Cache-block-based Service Process Caching Strategy to Accelerate the Execution of Service Processes
    ACM Trans. Web (IF 1.157) Pub Date : 2020-10-29
    Jian Cao; Tingjie Jia; Siyou Qian; Haiyan Zhao; Jie Wang

    With the development of cloud computing and the advent of the Web 2.0 era, composing a set of Web services as a service process is becoming a common practice to provide more functional services. However, a service process involves multiple service invocations over the network, which incurs a huge time cost and could become a bottleneck to performance. To accelerate its execution, we propose an engine-side

    更新日期:2020-10-30
  • Decoupled Variational Embedding for Signed Directed Networks
    ACM Trans. Web (IF 1.157) Pub Date : 2020-10-28
    Xu Chen; Jiangchao Yao; Maosen Li; Ya Zhang; Yanfeng Wang

    Node representation learning for signed directed networks has received considerable attention in many real-world applications such as link sign prediction, node classification, and node recommendation. The challenge lies in how to adequately encode the complex topological information of the networks. Recent studies mainly focus on preserving the first-order network topology that indicates the closeness

    更新日期:2020-10-30
  • 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
  • Browser Fingerprinting
    ACM Trans. Web (IF 1.157) Pub Date : 2020-04-19
    Pierre Laperdrix; Nataliia Bielova; Benoit Baudry; Gildas Avoine

    With this paper, we survey the research performed in the domain of browser fingerprinting, while providing an accessible entry point to newcomers in the field. We explain how this technique works and where it stems from. We analyze the related work in detail to understand the composition of modern fingerprints and see how this technique is currently used online. We systematize existing defense solutions

    更新日期:2020-04-19
  • An Experimental Study of Automatic Detection and Measurement of Counterfeit in Brand Search Results
    ACM Trans. Web (IF 1.157) Pub Date : 2020-04-19
    Claudio Carpineto; Giovanni Romano

    Brand search results are poisoned by fake ecommerce websites that infringe on the trademark rights of legitimate holders. In this article, we study how to tackle and measure this problem automatically. We present a pipeline with two machine learning stages that can detect the ecommerce websites present in the list of brand search results and distinguish between legitimate and fake ecommerce websites

    更新日期:2020-04-19
  • Image Privacy Prediction Using Deep Neural Networks
    ACM Trans. Web (IF 1.157) Pub Date : 2020-04-19
    Ashwini Tonge; Cornelia Caragea

    Images today are increasingly shared online on social networking sites such as Facebook, Flickr, Foursquare, and Instagram. Despite that current social networking sites allow users to change their privacy preferences, this is often a cumbersome task for the vast majority of users on the Web, who face difficulties in assigning and managing privacy settings. Thus, automatically predicting images' privacy

    更新日期:2020-04-19
  • Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods
    ACM Trans. Web (IF 1.157) Pub Date : 2020-04-19
    Guohui Li; Qi Chen; Bolong Zheng; Nguyen Quoc Viet Hung; Pan Zhou; Guanfeng Liu

    The explosive growth of e-commerce has led to the development of the recommendation system. The recommendation system aims to provide a set of items that meet users’ personalized needs through analyzing users’ consumption records. However, the timeliness of purchasing data and the implicity of feedback data pose severe challenges for the existing recommendation methods. To alleviate these challenges

    更新日期:2020-04-19
  • Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification
    ACM Trans. Web (IF 1.157) Pub Date : 2020-02-07
    Masoud Hassanpour; Seyed Amir Hoseinitabatabaei; Payam Barnaghi; Rahim Tafazolli

    This article proposes a novel approach for enhancing the video popularity prediction models. Using the proposed approach, we enhance three popularity prediction techniques that outperform the accuracy of the prior state-of-the-art solutions. The major components of the proposed approach are two novel mechanisms for ”user grouping” and ”content classification.” The user grouping method is an unsupervised

    更新日期:2020-02-07
  • “The Best of Both Worlds!”
    ACM Trans. Web (IF 1.157) Pub Date : 2020-02-07
    Sukru Eraslan; Yeliz Yesilada; Simon Harper

    Web pages are composed of different kinds of elements (menus, adverts, etc.). Segmenting pages into their elements has long been important in understanding how people experience those pages and in making those experiences “better.” Many approaches have been proposed that relate the resultant elements with the underlying source code; however, they do not consider users’ interactions. Another group of

    更新日期:2020-02-07
  • A Survey of Figurative Language and Its Computational Detection in Online Social Networks
    ACM Trans. Web (IF 1.157) Pub Date : 2020-02-07
    Muhammad Abulaish; Ashraf Kamal; Mohammed J. Zaki

    The frequent usage of figurative language on online social networks, especially on Twitter, has the potential to mislead traditional sentiment analysis and recommender systems. Due to the extensive use of slangs, bashes, flames, and non-literal texts, tweets are a great source of figurative language, such as sarcasm, irony, metaphor, simile, hyperbole, humor, and satire. Starting with a brief introduction

    更新日期:2020-02-07
  • An Outsourcing Model for Alert Analysis in a Cybersecurity Operations Center
    ACM Trans. Web (IF 1.157) Pub Date : 2020-02-07
    Ankit Shah; Rajesh Ganesan; Sushil Jajodia; Hasan Cam

    A typical Cybersecurity Operations Center (CSOC) is a service organization. It hires and trains analysts, whose task is to perform analysis of alerts that were generated while monitoring the client’s networks. Due to ever-increasing financial and infrastructure burden on a CSOC driven by the rapidly growing demand for security services, it would become prohibitively expensive to continually expand

    更新日期:2020-02-07
  • Efficient Pairwise Penetrating-rank Similarity Retrieval
    ACM Trans. Web (IF 1.157) Pub Date : 2019-12-20
    Weiren Yu; Julie McCann; Chengyuan Zhang

    Many web applications demand a measure of similarity between two entities, such as collaborative filtering, web document ranking, linkage prediction, and anomaly detection. P-Rank (Penetrating-Rank) has been accepted as a promising graph-based similarity measure, as it provides a comprehensive way of encoding both incoming and outgoing links into assessment. However, the existing method to compute

    更新日期:2019-12-20
  • Fast and Practical Snippet Generation for RDF Datasets
    ACM Trans. Web (IF 1.157) Pub Date : 2019-12-20
    Daxin Liu; Gong Cheng; Qingxia Liu; Yuzhong Qu

    Triple-structured open data creates value in many ways. However, the reuse of datasets is still challenging. Users feel difficult to assess the usefulness of a large dataset containing thousands or millions of triples. To satisfy the needs, existing abstractive methods produce a concise high-level abstraction of data. Complementary to that, we adopt the extractive strategy and aim to select the optimum

    更新日期:2019-12-20
  • Long-term Measurement and Analysis of the Free Proxy Ecosystem
    ACM Trans. Web (IF 1.157) Pub Date : 2019-12-20
    Diego Perino; Matteo Varvello; Claudio Soriente

    Free web proxies promise anonymity and censorship circumvention at no cost. Several websites publish lists of free proxies organized by country, anonymity level, and performance. These lists index hundreds of thousands of hosts discovered via automated tools and crowd-sourcing. A complex free proxy ecosystem has been forming over the years, of which very little is known. In this article, we shed light

    更新日期:2019-12-20
  • Combining URL and HTML Features for Entity Discovery in the Web
    ACM Trans. Web (IF 1.157) Pub Date : 2019-12-20
    Edimar Manica; Carina Friedrich Dorneles; Renata Galante

    The web is a large repository of entity-pages. An entity-page is a page that publishes data representing an entity of a particular type, for example, a page that describes a driver on a website about a car racing championship. The attribute values published in the entity-pages can be used for many data-driven companies, such as insurers, retailers, and search engines. In this article, we define a novel

    更新日期:2019-12-20
  • Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics
    ACM Trans. Web (IF 1.157) Pub Date : 2019-11-18
    Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti

    Social networks, forums, and social media have emerged as global platforms for forming and shaping opinions on a broad spectrum of topics like politics, sports, and entertainment. Users (also called actors) often update their evolving opinions, influenced through discussions with other users. Theoretical models and their analysis on understanding opinion dynamics in social networks abound in the literature

    更新日期:2019-11-18
  • Detecting Cyberbullying and Cyberaggression in Social Media
    ACM Trans. Web (IF 1.157) Pub Date : 2019-11-18
    Despoina Chatzakou; Ilias Leontiadis; Jeremy Blackburn; Emiliano De Cristofaro; Gianluca Stringhini; Athena Vakali; Nicolas Kourtellis

    Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been exposed to such prolonged and/or coordinated digital harassment. Victims can experience a wide range of emotions, with negative consequences such as embarrassment, depression, isolation from other community members, which embed

    更新日期:2019-11-18
  • “The Enemy Among Us”
    ACM Trans. Web (IF 1.157) Pub Date : 2019-11-18
    Wafa Alorainy; Pete Burnap; Han Liu; Matthew L. Williams

    Offensive or antagonistic language targeted at individuals and social groups based on their personal characteristics (also known as cyber hate speech or cyberhate) has been frequently posted and widely circulated via the World Wide Web. This can be considered as a key risk factor for individual and societal tension surrounding regional instability. Automated Web-based cyberhate detection is important

    更新日期:2019-11-18
  • User Studies on End-User Service Composition
    ACM Trans. Web (IF 1.157) Pub Date : 2019-11-18
    Liping Zhao; Pericles Loucopoulos; Evangelia Kavakli; Keletso J. Letsholo

    Context: End-user service composition (EUSC) is a service-oriented paradigm that aims to empower end users and allow them to compose their own web applications from reusable service components. User studies have been used to evaluate EUSC tools and processes. Such an approach should benefit software development, because incorporating end users’ feedback into software development should make software

    更新日期:2019-11-18
  • What Web Template Extractor Should I Use? A Benchmarking and Comparison for Five Template Extractors
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Julián Alarte; Josep Silva; Salvador Tamarit

    A Web template is a resource that implements the structure and format of a website, making it ready for plugging content into already formatted and prepared pages. For this reason, templates are one of the main development resources for website engineers, because they increase productivity. Templates are also useful for the final user, because they provide uniformity and a common look and feel for

    更新日期:2019-04-12
  • Exploiting Usage to Predict Instantaneous App Popularity
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Stephan Sigg; Eemil Lagerspetz; Ella Peltonen; Petteri Nurmi; Sasu Tarkoma

    Popularity of mobile apps is traditionally measured by metrics such as the number of downloads, installations, or user ratings. A problem with these measures is that they reflect usage only indirectly. Indeed, retention rates, i.e., the number of days users continue to interact with an installed app, have been suggested to predict successful app lifecycles. We conduct the first independent and large-scale

    更新日期:2019-04-12
  • FusE
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Steffen Thoma; Andreas Thalhammer; Andreas Harth; Rudi Studer

    Many current web pages include structured data which can directly be processed and used. Search engines, in particular, gather that structured data and provide question answering capabilities over the integrated data with an entity-centric presentation of the results. Due to the decentralized nature of the web, multiple structured data sources can provide similar information about an entity. But data

    更新日期:2019-04-12
  • Layout Cross-Platform and Cross-Browser Incompatibilities Detection using Classification of DOM Elements
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Willian Massami Watanabe; Giovana Lázaro Amêndola; Fagner Christian Paes

    Web applications can be accessed through a variety of user agent configurations, in which the browser, platform, and device capabilities are not under the control of developers. In order to grant the compatibility of a web application in each environment, developers must manually inspect their web application in a wide variety of devices, platforms, and browsers. Web applications can be rendered inconsistently

    更新日期:2019-04-12
  • Cashtag Piggybacking
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Stefano Cresci; Fabrizio Lillo; Daniele Regoli; Serena Tardelli; Maurizio Tesconi

    Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots and spammers. Yet, the presence (or lack thereof) and the impact of fake stock microblogs has never been systematically investigated before. Here, we study 9M tweets

    更新日期:2019-04-12
  • Polarization and Fake News
    ACM Trans. Web (IF 1.157) Pub Date : 2019-04-12
    Michela Del Vicario; Walter Quattrociocchi; Antonio Scala; Fabiana Zollo

    Users’ polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this article, we introduce a framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances of the proposed

    更新日期:2019-04-12
  • Social Networks under Stress
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Daniel M. Romero; Brian Uzzi; Jon Kleinberg

    Social network research has begun to take advantage of fine-grained communications regarding coordination, decision-making, and knowledge sharing. These studies, however, have not generally analyzed how external events are associated with a social network’s structure and communicative properties. Here, we study how external events are associated with a network’s change in structure and communications

    更新日期:2019-02-20
  • Web Portals for High-performance Computing
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Patrice Calegari; Marc Levrier; Paweł Balczyński

    This article addresses web interfaces for High-performance Computing (HPC) simulation software. First, it presents a brief history, starting in the 1990s with Java applets, of web interfaces used for accessing and making best possible use of remote HPC resources. It introduces HPC web-based portal use cases. Then it identifies and discusses the key features, among functional and non-functional requirements

    更新日期:2019-02-20
  • Mining Abstract XML Data-Types
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Dionysis Athanasopoulos; Apostolos Zarras

    Schema integration has been a long-standing challenge for the data-engineering community that has received steady attention over the past three decades. General-purpose integration approaches construct unified schemas that encompass all schema elements. Schema integration has been revisited in the past decade in service-oriented computing since the input/output data-types of service interfaces are

    更新日期:2019-02-20
  • Analyzing Privacy Policies at Scale
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Shomir Wilson; Florian Schaub; Frederick Liu; Kanthashree Mysore Sathyendra; Daniel Smullen; Sebastian Zimmeck; Rohan Ramanath; Peter Story; Fei Liu; Norman Sadeh; Noah A. Smith

    Website privacy policies are often long and difficult to understand. While research shows that Internet users care about their privacy, they do not have the time to understand the policies of every website they visit, and most users hardly ever read privacy policies. Some recent efforts have aimed to use a combination of crowdsourcing, machine learning, and natural language processing to interpret

    更新日期:2019-02-20
  • New Phone, Who Dis? Modeling Millennials’ Backup Behavior
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Elissa M. Redmiles; Eszter Hargittai

    Given the ever-rising frequency of malware attacks and other problems leading people to lose their files, backups are an important proactive protective behavior in which users can engage. Backing up files can prevent emotional and financial losses and improve overall user experience. Yet, we find that less than half of young adults perform mobile or computer backups regularly. To understand why, we

    更新日期:2019-02-20
  • Test-Based Security Certification of Composite Services
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Marco Anisetti; Claudio Ardagna; Ernesto Damiani; Gianluca Polegri

    The diffusion of service-based and cloud-based systems has created a scenario where software is often made available as services, offered as commodities over corporate networks or the global net. This scenario supports the definition of business processes as composite services, which are implemented via either static or runtime composition of offerings provided by different suppliers. Fast and accurate

    更新日期:2019-02-20
  • A Large-scale Behavioural Analysis of Bots and Humans on Twitter
    ACM Trans. Web (IF 1.157) Pub Date : 2019-02-20
    Zafar Gilani; Reza Farahbakhsh; Gareth Tyson; Jon Crowcroft

    Recent research has shown a substantial active presence of bots in online social networks (OSNs). In this article, we perform a comparative analysis of the usage and impact of bots and humans on Twitter—one of the largest OSNs in the world. We collect a large-scale Twitter dataset and define various metrics based on tweet metadata. Using a human annotation task, we assign “bot” and “human” ground-truth

    更新日期:2019-02-20
  • Understanding Cross-Site Linking in Online Social Networks
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Qingyuan Gong; Yang Chen; Jiyao Hu; Qiang Cao; Pan Hui; Xin Wang

    As a result of the blooming of online social networks (OSNs), a user often holds accounts on multiple sites. In this article, we study the emerging “cross-site linking” function available on mainstream OSN services including Foursquare, Quora, and Pinterest. We first conduct a data-driven analysis on crawled profiles and social connections of all 61.39 million Foursquare users to obtain a thorough

    更新日期:2018-11-06
  • Unsupervised Domain Ranking in Large-Scale Web Crawls
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Yi Cui; Clint Sparkman; Hsin-Tsang Lee; Dmitri Loguinov

    With the proliferation of web spam and infinite autogenerated web content, large-scale web crawlers require low-complexity ranking methods to effectively budget their limited resources and allocate bandwidth to reputable sites. In this work, we assume crawls that produce frontiers orders of magnitude larger than RAM, where sorting of pending URLs is infeasible in real time. Under these constraints

    更新日期:2018-11-06
  • Imaginary People Representing Real Numbers
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    J. An; H. Kwak; S. Jung; J. Salminen; M. Admad; B. Jansen

    We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology

    更新日期:2018-11-06
  • You, the Web, and Your Device
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Luca Vassio; Idilio Drago; Marco Mellia; Zied Ben Houidi; Mohamed Lamine Lamali

    Understanding how people interact with the web is key for a variety of applications, e.g., from the design of effective web pages to the definition of successful online marketing campaigns. Browsing behavior has been traditionally represented and studied by means of clickstreams, i.e., graphs whose vertices are web pages, and edges are the paths followed by users. Obtaining large and representative

    更新日期:2018-11-06
  • A Rule-Based Transducer for Querying Incompletely Aligned Datasets
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Ana I. Torre-Bastida; Jesús Bermúdez; Arantza Illarramendi

    A growing number of Linked Open Data sources (from diverse provenances and about different domains) that can be freely browsed and searched to find and extract useful information have been made available. However, access to them is difficult for different reasons. This study addresses access issues concerning heterogeneity. It is common for datasets to describe the same or overlapping domains while

    更新日期:2018-11-06
  • Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Francesco Parisi; Noseong Park; Andrea Pugliese; V. S. Subrahmanian

    We consider identifying highly ranked vertices in large graph databases such as social networks or the Semantic Web where there are edge labels. There are many applications where users express scoring queries against such databases that involve two elements: (i) a set of patterns describing relationships that a vertex of interest to the user must satisfy and (ii) a scoring mechanism in which the user

    更新日期:2018-11-06
  • Exploring and Analysing the African Web Ecosystem
    ACM Trans. Web (IF 1.157) Pub Date : 2018-11-06
    Rodérick Fanou; Gareth Tyson; Eder Leao Fernandes; Pierre Francois; Francisco Valera; Arjuna Sathiaseelan

    It is well known that internet infrastructure deployment is progressing at a rapid pace in the African continent. A flurry of recent research has quantified this, highlighting the expansion of its underlying connectivity network. However, improving the infrastructure is not useful without appropriately provisioned services to exploit it. This article measures the availability and utilisation of web

    更新日期:2018-11-06
  • Faster Base64 Encoding and Decoding Using AVX2 Instructions
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Wojciech Muła; Daniel Lemire

    Web developers use base64 formats to include images, fonts, sounds, and other resources directly inside HTML, JavaScript, JSON, and XML files. We estimate that billions of base64 messages are decoded every day. We are motivated to improve the efficiency of base64 encoding and decoding. Compared to state-of-the-art implementations, we multiply the speeds of both the encoding (≈ 10 ×0) and the decoding

    更新日期:2018-07-18
  • Completeness Management for RDF Data Sources
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Fariz Darari; Werner Nutt; Giuseppe Pirrò; Simon Razniewski

    The Semantic Web is commonly interpreted under the open-world assumption, meaning that information available (e.g., in a data source) captures only a subset of the reality. Therefore, there is no certainty about whether the available information provides a complete representation of the reality. The broad aim of this article is to contribute a formal study of how to describe the completeness of parts

    更新日期:2018-07-18
  • Localness of Location-based Knowledge Sharing
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Sangkeun Park; Mark S. Ackerman; Uichin Lee

    In location-based social Q8A services, people ask a question with a high expectation that local residents who have local knowledge will answer the question. However, little is known about the locality of user activities in location-based social Q8A services. This study aims to deepen our understanding of location-based knowledge sharing by investigating the following: general behavioral characteristics

    更新日期:2018-07-18
  • Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Koustav Rudra; Niloy Ganguly; Pawan Goyal; Saptarshi Ghosh

    Microblogging sites like Twitter have become important sources of real-time information during disaster events. A large amount of valuable situational information is posted in these sites during disasters; however, the information is dispersed among hundreds of thousands of tweets containing sentiments and opinions of the masses. To effectively utilize microblogging sites during disaster events, it

    更新日期:2018-07-18
  • Evaluating Quality in Use of Corporate Web Sites
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Daniela Fogli; Giovanni Guida

    In our prior work, we presented a novel approach to the evaluation of quality in use of corporate web sites based on an original quality model (QM-U) and a related methodology (EQ-EVAL). This article focuses on two research questions. The first one aims at investigating whether expected quality obtained through the application of EQ-EVAL methodology by employing a small panel of evaluators is a good

    更新日期:2018-07-18
  • Optimizing Whole-Page Presentation for Web Search
    ACM Trans. Web (IF 1.157) Pub Date : 2018-07-18
    Yue Wang; Dawei Yin; Luo Jie; Pengyuan Wang; Makoto Yamada; Yi Chang; Qiaozhu Mei

    Modern search engines aggregate results from different verticals: webpages, news, images, video, shopping, knowledge cards, local maps, and so on. Unlike “ten blue links,” these search results are heterogeneous in nature and not even arranged in a list on the page. This revolution directly challenges the conventional “ranked list” formulation in ad hoc search. Therefore, finding proper presentation

    更新日期:2018-07-18
  • A Model of Information Diffusion in Interconnected Online Social Networks
    ACM Trans. Web (IF 1.157) Pub Date : 2018-06-20
    Rossano Gaeta

    Online social networks (OSN) have today reached a remarkable capillary diffusion. There are numerous examples of very large platforms people use to communicate and maintain relationships. People also subscribe to several OSNs, e.g., people create accounts on Facebook, Twitter, and so on. This phenomenon leads to online social internetworking (OSI) scenarios where users who subscribe to multiple OSNs

    更新日期:2018-06-20
  • When Simpler Data Does Not Imply Less Information
    ACM Trans. Web (IF 1.157) Pub Date : 2018-06-20
    Souneil Park; Aleksandar Matic; Kamini Garg; Nuria Oliver

    The exponential growth in smartphone adoption is contributing to the availability of vast amounts of human behavioral data. This data enables the development of increasingly accurate data-driven user models that facilitate the delivery of personalized services that are often free in exchange for the use of its customers’ data. Although such usage conventions have raised many privacy concerns, the increasing

    更新日期:2018-06-20
  • Semantics-Based Analysis of Content Security Policy Deployment
    ACM Trans. Web (IF 1.157) Pub Date : 2018-06-20
    Stefano Calzavara; Alvise Rabitti; Michele Bugliesi

    Content Security Policy (CSP) is a recent W3C standard introduced to prevent and mitigate the impact of content injection vulnerabilities on websites. In this article, we introduce a formal semantics for the latest stable version of the standard, CSP Level 2. We then perform a systematic, large-scale analysis of the effectiveness of the current CSP deployment, using the formal semantics to substantiate

    更新日期:2018-06-20
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