The World Wide Web Conference最新文献_第3页

BotCamp: Bot-driven Interactions in Social Campaigns BotCamp:社交活动中机器人驱动的互动

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313420

Noor Abu-El-Rub, A. Mueen

引用次数: 28

Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play 理解手机应用生态系统的演变:基于Google Play的纵向测量研究

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313611

Haoyu Wang, Hao Li, Yao Guo

{"title":"Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play","authors":"Haoyu Wang, Hao Li, Yao Guo","doi":"10.1145/3308558.3313611","DOIUrl":"https://doi.org/10.1145/3308558.3313611","url":null,"abstract":"The continuing expansion of mobile app ecosystems has attracted lots of efforts from the research community. However, although a large number of research studies have focused on analyzing the corpus of mobile apps and app markets, little is known at a comprehensive level on the evolution of mobile app ecosystems. Because the mobile app ecosystem is continuously evolving over time, understanding the dynamics of app ecosystems could provide unique insights that cannot be achieved through studying a single static snapshot. In this paper, we seek to shed light on the dynamics of mobile app ecosystems. Based on 5.3 million app records (with both app metadata and apks) collected from three snapshots of Google Play over more than three years, we conduct the first study on the evolution of app ecosystems from different aspects. Our results suggest that although the overall ecosystem shows promising progress in regard of app popularity, user ratings, permission usage and privacy policy declaration, there still exists a considerable number of unsolved issues including malicious apps, update issues, third-party tracking threats, improper app promotion behaviors, and spamming/malicious developers. Our study shows that understanding the evolution of mobile app ecosystems can help developers make better decision on developing and releasing apps, provide insights for app markets to identifying misbehaviors, and help mobile users to choose desired apps.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89010778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 49

Variational Session-based Recommendation Using Normalizing Flows 使用规范化流的基于会话的可变推荐

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313615

Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong

引用次数: 13

Mobile App Risk Ranking via Exclusive Sparse Coding 基于排他性稀疏编码的手机应用风险排名

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313589

Deguang Kong, Lei Cen

引用次数: 2

Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods 基于概率和张量分解方法的知识图的细粒度类型推断

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313597

A. Moniruzzaman, R. Nayak, Maolin Tang, Thirunavukarasu Balasubramaniam

{"title":"Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods","authors":"A. Moniruzzaman, R. Nayak, Maolin Tang, Thirunavukarasu Balasubramaniam","doi":"10.1145/3308558.3313597","DOIUrl":"https://doi.org/10.1145/3308558.3313597","url":null,"abstract":"Knowledge Graphs (KGs) have been proven to be incredibly useful for enriching semantic Web search results and allowing queries with a well-defined result set. In recent years much attention has been given to the task of inferring missing facts based on existing facts in a KG. Approaches have also been proposed for inferring types of entities, however these are successful in common types such as 'Person', 'Movie', or 'Actor'. There is still a large gap, however, in the inference of fine-grained types which are highly important for exploring specific lists and collections within web search. Generally there are also relatively fewer observed instances of fine-grained types present to train in KGs, and this poses challenges for the development of effective approaches. In order to address the issue, this paper proposes a new approach to the fine-grained type inference problem. This new approach is explicitly modeled for leveraging domain knowledge and utilizing additional data outside KG, that improves performance in fine-grained type inference. Further improvements in efficiency are achieved by extending the model to probabilistic inference based on entity similarity and typed class classification. We conduct extensive experiments on type triple classification and entity prediction tasks on Freebase FB15K benchmark dataset. The experiment results show that the proposed model outperforms the state-of-the-art approaches for type inference in KG, and achieves high performance results in many-to-one relation in predicting tail for KG completion task.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"30 8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89482188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Learning How to Correct a Knowledge Base from the Edit History 学习如何从编辑历史中更正知识库

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313584

Thomas Pellissier Tanon, Camille Bourgaux, Fabian M. Suchanek

引用次数: 24

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation Serendipity如何通过推荐提高用户满意度?大规模用户评估

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313469

Li Chen, Y. Yang, Ningxia Wang, Keping Yang, Quan Yuan

{"title":"How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation","authors":"Li Chen, Y. Yang, Ningxia Wang, Keping Yang, Quan Yuan","doi":"10.1145/3308558.3313469","DOIUrl":"https://doi.org/10.1145/3308558.3313469","url":null,"abstract":"Recommendation serendipity is being increasingly recognized as being equally important as the other beyond-accuracy objectives (such as novelty and diversity), in eliminating the “filter bubble” phenomenon of the traditional recommender systems. However, little work has empirically verified the effects of serendipity on increasing user satisfaction and behavioral intention. In this paper, we report the results of a large-scale user survey (involving over 3,000 users) conducted in an industrial mobile e-commerce setting. The study has identified the significant causal relationships from novelty, unexpectedness, relevance, and timeliness to serendipity, and from serendipity to user satisfaction and purchase intention. Moreover, our findings reveal that user curiosity plays a moderating role in strengthening the relationships from novelty to serendipity and from serendipity to satisfaction. Our third contribution lies in the comparison of several recommender algorithms, which demonstrates the significant improvements of the serendipity-oriented algorithm over the relevance- and novelty-oriented approaches in terms of user perceptions. We finally discuss the implications of this experiment, which include the feasibility of developing a more precise metric for measuring recommendation serendipity, and the potential benefit of a curiosity-based personalized serendipity strategy for recommender systems.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91147246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 77

XFake: Explainable Fake News Detector with Visualizations XFake:可解释的假新闻检测器与可视化

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3314119

Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, E. Ragan, Shuiwang Ji, Xia Hu

引用次数: 89

A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs 一张图表胜过千言万语:使用时间线总结图表讲述事件故事

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313396

Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li

{"title":"A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs","authors":"Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li","doi":"10.1145/3308558.3313396","DOIUrl":"https://doi.org/10.1145/3308558.3313396","url":null,"abstract":"Story timeline summarization is widely used by analysts, law enforcement agencies, and policymakers for content presentation, story-telling, and other data-driven decision-making applications. Recent advancements in web technologies have rendered social media sites such as Twitter and Facebook as a viable platform for discovering evolving stories and trending events for story timeline summarization. However, a timeline summarization structure that models complex evolving stories by tracking event evolution to identify different themes of a story and generate a coherent structure that is easy for users to understand is yet to be explored. In this paper, we propose StoryGraph, a novel graph timeline summarization structure that is capable of identifying the different themes of a story. By using high penalty metrics that leverage user network communities, temporal proximity, and the semantic context of the events, we construct coherent paths and generate structural timeline summaries to tell the story of how events evolve over time. We performed experiments on real-world datasets to show the prowess of StoryGraph. StoryGraph outperforms existing models and produces accurate timeline summarizations. As a key finding, we discover that user network communities increase coherence leading to the generation of consistent summary structures.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75122053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit 表征加密货币讨论的速度和规模在Reddit上传播

The World Wide Web Conference Pub Date : 2019-05-13 DOI: 10.1145/3308558.3313702

M. Glenski, Emily Saldanha, Svitlana Volkova

{"title":"Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit","authors":"M. Glenski, Emily Saldanha, Svitlana Volkova","doi":"10.1145/3308558.3313702","DOIUrl":"https://doi.org/10.1145/3308558.3313702","url":null,"abstract":"Cryptocurrencies are a novel and disruptive technology that has prompted a new approach to how currencies work in the modern economy. As such, online discussions related to cryptocurrencies often go beyond posts about the technology and underlying architecture of the various coins, to subjective speculations of price fluctuations and predictions. Furthermore, online discussions, potentially driven by foreign adversaries, criminals or hackers, can have a significant impact on our economy and national security if spread at scale. This paper is the first to qualitatively measure and contrast discussion growth about three popular cryptocurrencies with key distinctions in motivation, usage, and implementation - Bitcoin, Ethereum, and Monero on Reddit. More specifically, we measure how discussions relevant to these coins spread in online social environments - how deep and how wide they go, how long they last, how many people they reach, etc. More importantly, we compare user behavior patterns between the focused community of the official coin subreddits and the general community across Reddit as a whole. Our Reddit sample covers three years of data between 2015 and 2018 and includes a time period of a record high Bitcoin price rise.1 Our results demonstrate that while the largest discussions on Reddit are focused on Bitcoin, posts about Monero (a cryptocurrency often used by criminals for illegal transactions on the Dark Web2) start discussions that are typically longer and wider. Bitcoin posts trigger subsequent discussion more immediately but Monero posts are more likely to trigger a longer lasting discussion. We find that moderately subjective posts across all three coins trigger larger, longer, and more viral discussion cascades within both focused and general communities on Reddit. Our analysis aims to bring the awareness to online discussion spread relevant to cryptocurrencies in addition to informing models for forecasting cryptocurrency price that rely on discussions in social media.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75257896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14