2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第9页

Rating Prediction in Review-Based Recommendations via Adversarial Auto-Encoder 基于评论的推荐中基于对抗性自编码器的评级预测

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-96

Jin Yi, Jiajin Huang, Jin Qin

引用次数: 9

Impact of Semantic Granularity on Geographic Information Search Support 语义粒度对地理信息搜索支持的影响

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-73

Noemi Mauro, L. Ardissono, Laura Di Rocco, M. Bertolotto, G. Guerrini

引用次数: 4

Investigation of the Quality of Topic Models for Noisy Data Sources 噪声数据源的主题模型质量研究

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-48

Yue Xu, Yuefeng Li, D. K. Geeganage

{"title":"Investigation of the Quality of Topic Models for Noisy Data Sources","authors":"Yue Xu, Yuefeng Li, D. K. Geeganage","doi":"10.1109/WI.2018.00-48","DOIUrl":"https://doi.org/10.1109/WI.2018.00-48","url":null,"abstract":"Latent Dirichlet Allocation (LDA) has become the most stable and widely used topic model to derive topics from collections of documents where it depicts different levels of success based on diversified domains of inputs. Nevertheless, it is a vital requirement to evaluate the LDA against the quality of the input. The noise and uncertainty of the content create a negative influence on the topic model. The major contribution of this investigation is to critically evaluate the LDA based on the quality of input sources and human perception. The empirical study shows the relationship between the quality of the input and the accuracy of the output generated by LDA. Perplexity and coherence have been evaluated with three data-sets (RCV1, conference data set, tweets) which contain different level of complexities and uncertainty in their contents. Human perception in generating topics has been compared with the LDA in terms of human defined topics. Results of the analysis demonstrate a strong relationship between the quality of the input and generated topics. Thus, highly relevant topics were generated from formally written contents while noisy and messy contents lead to generate meaningless topics. A considerable gap is noticed between human defined topics and LDA generated topics. Finally, a concept-based topic modeling technique is proposed to improve the quality of topics by capturing the meaning of the content and eliminating the irrelevant and meaningless topics.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"17 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":"133150638","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: 1

Sequential Formal Concepts over Time for Trajectory Analysis 轨迹分析中随时间的顺序形式概念

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-31

Feda Almuhisen, Nicolas Durand, M. Quafafou

引用次数: 3

Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions? Reddit减肥社区:他们是否具备有效的健康干预措施?

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-45

Karen Braga Enes, P. Brum, T. Cunha, Fabricio Murai, Ana Paula Couto da Silva, G. Pappa

{"title":"Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions?","authors":"Karen Braga Enes, P. Brum, T. Cunha, Fabricio Murai, Ana Paula Couto da Silva, G. Pappa","doi":"10.1109/WI.2018.00-45","DOIUrl":"https://doi.org/10.1109/WI.2018.00-45","url":null,"abstract":"Online social networks are an important tool for people to share information and have been extensively used for people to achieve beneficial changes in health. Obesity is a major public health concern that affects about one third of the world's population. In order to alleviate this problem, health professionals are focusing on health interventions, which can be performed online. In this study we analyze three distinct online communities about weight and diet in Reddit. We model our data as 3 directed and weighted graphs of the posts and comments and evaluate the interaction between users of each community. We also analyze specific characteristics of each community, the habits of daily activity of the users and the formation of implicit bonds of friendship through the formation of communities. Our main results show that Reddit is a content-centered social network, in which what matters is what is posted and not who posts. In addition, users tend to create implicit friendship relationships through denser regions of interactions. Our results show that, contrary to expectations, the three communities present the same behavior pattern in a general point of view, which facilitates the development of non-directed online weight loss intervention strategies.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"59 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":"127199002","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: 6

Scale Adjustable Interaction Group Identification 规模可调的相互作用组识别

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-69

Shouzhong Tu, Jianye Yu, J. Yang, Jing He, Xiaoyan Zhu

{"title":"Scale Adjustable Interaction Group Identification","authors":"Shouzhong Tu, Jianye Yu, J. Yang, Jing He, Xiaoyan Zhu","doi":"10.1109/WI.2018.00-69","DOIUrl":"https://doi.org/10.1109/WI.2018.00-69","url":null,"abstract":"Abundant information with rich content is produced by tens of millions of users on social networking services everyday. Users can be clustered different kinds of interaction groups by the topics of their interactions. However, identifying dynamic interaction groups on topics still remains a challenge and the hierarchy of topics is often overlooked. In this paper, we propose a game-theoretic approach based on hierarchical topic model, in order to formulate the dynamics of users' participation into interaction groups formed by users' interrelationships on a social network. Under the assumption that user's partition into interaction groups corresponds to an equilibrium of the game, each user is represented by a selfish agent that chooses to join or exit a group according to its utility which consists a gain function and a loss one. An agent may belong to more than one interaction group because of its several different interests, which is naturally captured by the proposed approach. We also take into consideration the hierarchy of topics, in order to better describe the characteristic of the groups from different levels. The results of experiments which we conduct on Facebook dataset illustrate that the proposed approach is more effective in identifying interaction groups and is able to distinguish these groups on different topic levels and different scales adaptively.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"34 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":"127999638","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

A Data Cleaning Framework for Water Quality Based on NLDIW-PSO Based Optimal SVR 基于NLDIW-PSO的最优支持向量回归的水质数据清洗框架

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-71

Jianzhuo Yan, Xinyue Chen, Yongchuan Yu

{"title":"A Data Cleaning Framework for Water Quality Based on NLDIW-PSO Based Optimal SVR","authors":"Jianzhuo Yan, Xinyue Chen, Yongchuan Yu","doi":"10.1109/WI.2018.00-71","DOIUrl":"https://doi.org/10.1109/WI.2018.00-71","url":null,"abstract":"Water quality monitoring is an essential part of water big data analysis. Spatiotemporal variations of water quality and constraints on measurement make it very complex. The objective of this study is to establish a water quality data cleaning framework based on time series, in order to clean the water quality data of the Gaobeidian Sewage Treatment Plant inlet in Beijing. Pauta criterion was used to deal with single water quality indicator. For abnormal values and missing values that are discontinuously distributed over time, the average of the non-abnormal data for three days before and after was used to fill it; For abnormal values and missing values that are continuously distributed over time, using the Non-Linear decreasing inertia weight particle swarm algorithm (NLDIW-PSO) based optimal Support Vector Regression (SVR) to forecast. And Pearson's correlation coefficient was used to reduce the dimension of the inputs of the model, k-fold cross validation was also used to train the model. The performance of the model was evaluated in terms of the coefficient of determination (R2), Pearson's correlation coefficient. Water quality data of Gaobeidian wastewater treatment inlet in Beijing, China was taken as the study case to examine effectiveness of this approach. The experiment results also revealed that the proposed model has advantages of stability and time reduction in comparison with other data-driven models including traditional BP ANN, Bayesian network model and Decision Tree model. And this framework can be used as an effective approach to deal with General time series data.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"8 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":"115322584","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

Engineering an Aligned Gold-Standard Corpus of Human to Machine Oriented Controlled Natural Language 工程一个对齐的黄金标准语料库的人到机器导向的受控自然语言

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-58

Hazem Safwat, Brian Davis, Manel Zarrouk

引用次数: 1

A Survey of Sparse-Learning Methods for Deep Neural Networks 深度神经网络稀疏学习方法综述

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-20

Rongrong Ma, Lingfeng Niu

{"title":"A Survey of Sparse-Learning Methods for Deep Neural Networks","authors":"Rongrong Ma, Lingfeng Niu","doi":"10.1109/WI.2018.00-20","DOIUrl":"https://doi.org/10.1109/WI.2018.00-20","url":null,"abstract":"Deep neural networks (DNNs) has drawn considerable attention in recent years as a result of their remarkable performace in many visual and speech recognition assignments. As the scale of tasks that need to solve is increasingly big, the networks used also become wider and deeper, resulting in millions or even billions of parameters needed. Deep and wide networks with large number of parameters bring many problems, including memory requirement, computation cost and overfitting, which severely hinder the application of DNNs in practice. Therefore, a natural thought is to train sparse networks with less parameters and float operators while maintaining comparable performance. During past few years, a mass of research has been proposed in this area. In this paper, we survey sparsity-promoting techniques in DNNs proposed in recent years. These approaches are roughly divided into three categories, including pruning, randomly reducing the complexity and optimizing with sparse regularizer. Pruning techniques will be introduced first and others will be described in the following section. For each kind of methods, we present approaches in this category, strengths and drawbacks. In the final, we will discuss the relationship of these three categories of methods.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"16 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":"116504279","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: 10

Utility-Based Multi-Stakeholder Recommendations by Multi-Objective Optimization 基于效用的多利益相关者多目标优化建议

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-98

Yong Zheng, Aviana Pu

引用次数: 19