2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第5页

Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems 改进上下文感知推荐系统的词嵌入模型探索

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-64

C. V. Sundermann, João Antunes, M. A. Domingues, S. O. Rezende

引用次数: 5

Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning 基于强化学习的动态网络自适应图保护策略研究

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-41

A. Wijayanto, T. Murata

{"title":"Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning","authors":"A. Wijayanto, T. Murata","doi":"10.1109/WI.2018.00-41","DOIUrl":"https://doi.org/10.1109/WI.2018.00-41","url":null,"abstract":"Graph protection strategies aim to suppress the epidemic propagation in a network by allocating protection resources to maximize the ratio of surviving node. Research on this topic has been active and promising due to its wide-range applications. However, most of the recent developments are simulated by assuming that the network structure remains static during epidemics. Moreover, the existing protection schemes are limited to the simplified pre-emptive and post-emptive schemes. The pre-emptive scheme protects the most critical nodes of networks prior to epidemic spreading, behaving as a prevention mechanism. In post-emptive schemes, the protections are allocated in the presence of epidemics, when the attacks have already spread over the network, simulating a late curative response. Given a limited k resource budget, both of those schemes spend the whole resources in a single chance. In this paper, we introduce a novel adaptive protection scheme by gradually protecting nodes in response to the incoming attacks. We consider the adaptive scheme in a more challenging network structure, the dynamic networks. We propose the n-step fitted Q-learning for training the model under reinforcement approach. We further incorporate graph embedding as a feature-based representation of the network state. We also demonstrate the potential of our proposal as a non-deterministic approach for this graph protection problem. Experimental results show that our proposed model effectively restrain epidemic propagation in real-world network datasets.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130749945","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: 7

[Title page i] [标题页i]

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.00001

引用次数: 0

HEvaS: Headline Evaluation System 标题评价系统

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-16

Marina Litvak, N. Vanetik, Itzhak Eretz Kdosha

{"title":"HEvaS: Headline Evaluation System","authors":"Marina Litvak, N. Vanetik, Itzhak Eretz Kdosha","doi":"10.1109/WI.2018.00-16","DOIUrl":"https://doi.org/10.1109/WI.2018.00-16","url":null,"abstract":"Automatic headline generation is a sub-task of oneline summarization with many reported applications. Evaluation of systems generating headlines is a very challenging and undeveloped area. In this paper, we introduce a system that performs automatic evaluation of systems in terms of a quality of the generated headlines. The evaluation is performed using multiple metrics for comparing evaluated headlines with the gold standard ones or measuring their coverage of main document topics. Both types of metrics evaluate headline's content and informativeness, but not grammatical structure. The only input required by our system is a set of documents with gold standard and automatically generated headlines. The Headline Evaluation System (HEvaS) provides a user with a choice from multiple (10) metrics, then calculates the chosen metrics, performs statistical analysis of the evaluated systems and visualizes the results. Multiple headline generation systems can be evaluated at the same run. This paper describes all evaluation metrics and architecture, utilized by our system. As an evaluation of the HEvaS, we perform a case study with a couple of baseline systems and report the results. Although we tested the system on English content only, the multilingual content can also be supported.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091911","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: 0

What Influences People to Broaden Their Horizons? 什么影响人们开阔视野?

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-103

Kota Kakiuchi, Mao Nishiguchi, F. Toriumi, Masanori Takano, Kazuya Wada, Ichiro Fukuda

{"title":"What Influences People to Broaden Their Horizons?","authors":"Kota Kakiuchi, Mao Nishiguchi, F. Toriumi, Masanori Takano, Kazuya Wada, Ichiro Fukuda","doi":"10.1109/WI.2018.0-103","DOIUrl":"https://doi.org/10.1109/WI.2018.0-103","url":null,"abstract":"Personalization, including both self-selected and pre-selected, is inevitable when tremendous amounts of media content are available. Since personalization, which is believed to encourage people to consume fewer diverse contents, can lead to fragmentation and polarization in society, exposing people to more diverse contents is important. In this paper, we investigate using web TV data what behavioral and environmental features influence users to consume more diverse contents. We tackle this problem by building a classification model that predicts whether users will consume contents that are comprised of more diverse sources and features. We measure the change of the consumed content diversity of users with the method in our previous work and design six features based on our basic research and previous studies. The result of our experiment shows that our model predicts with high accuracy the change of the consumed content diversity of users, which means that the increase of the diversity of the consumed content of users is explained well with our six features. Our analysis of the model shows that consuming contents across multiple genres and inadvertent exposure to various contents positively affect users and encourage them broaden their horizons. The former has especially strong influence. In addition, we demonstrate that active-seeking behaviors of users and the amount of content in their most interested areas negatively affect the increase of their consumed content diversity. Our findings in this study are expected to be applied to web media to moderate the effect of selective exposure and reduce fragmentation and polarization in society.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266562","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: 3

WI 2018 Preface

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.00005

引用次数: 0

Identifying Virtual Relations among Businesses Exploring User Reaction on Facebook 识别企业之间的虚拟关系，探索Facebook用户的反应

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-102

D. P. Tsutsumi, Thiago H. Silva

引用次数: 3

Precise Description Generation for Knowledge Base Entities with Local Pointer Network 基于局部指针网络的知识库实体精确描述生成

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-87

Shyh-Horng Yeh, Hen-Hsen Huang, Hsin-Hsi Chen

引用次数: 3

LOCAST: Optimal Location Casting by Crowdsourcing and Open Data Integration LOCAST:通过众包和开放数据集成实现最优选址

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-60

K. Platis, Ilias Dimitriadis, A. Vakali

引用次数: 1

Grail: A Framework for Adaptive and Believable AI in Video Games 圣杯:电子游戏中自适应和可信AI的框架

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00012

M. Świechowski, D. Ślęzak

引用次数: 5