2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第3页

Using Belief Change Principles for Evolving Bayesian Network Structures in Probabilistic Knowledge Representations 基于信念变化原理的概率知识表示贝叶斯网络结构演化

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0013

E. Jembere, S. S. Xulu

{"title":"Using Belief Change Principles for Evolving Bayesian Network Structures in Probabilistic Knowledge Representations","authors":"E. Jembere, S. S. Xulu","doi":"10.1109/WI.2016.0013","DOIUrl":"https://doi.org/10.1109/WI.2016.0013","url":null,"abstract":"Belief change in Probabilistic Graphical Models in general, and Bayesian Networks in particular, is often thought of as change in the model parameters when data consistent with the graphical model is observed. The assumption is the network structure for the graphical model is a true representation of the knowledge about the domain and therefore it does not change. In dynamic environments, this assumption is not always true. The network structure is bound to change in response to changes in the domain or correction of mistaken propositions. In such domains, the true Bayesian Network structure at any given point in time, and the events that provides an impetus for change in the network structure are unobservable and are not known with certainty. This paper presents, the Unified Belief Change Operator for Bayesian Networks (UBCOBaN). The UBCOBaN effects both belief revision and update on a given Bayesian network structure based on the data emitted from the domain modelled by the Bayesian Network. We present the conceptualization and implementation of the operator, and its evaluation based on synthetic data simulated from the Alarm Network. The operator was found to be more rational, with respect to the principle minimal change, than the classical search-and-score algorithm. The operator was also found to be faster in adapting to necessary changes than the classical search-and-score algorithm.","PeriodicalId":6513,"journal":{"name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"27 1","pages":"9-17"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81000322","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

Self-Stabilizing Computation of Perfect Neighborhood Set in Large Network Graphs 大型网络图中完美邻域集的自稳定计算

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0069

Yihua Ding, J. Wang, P. Srimani

引用次数: 0

A Sparse Image Recommendation Model Using Content and User Preference Information 基于内容和用户偏好信息的稀疏图像推荐模型

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0041

Lei Liu

引用次数: 1

Adding Search Queries to Picture Lifelogs for Memory Retrieval 添加搜索查询的图片生活日志的记忆检索

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0123

Akira Kubota, T. Tominaga, Y. Hijikata, Nobuchika Sakata

{"title":"Adding Search Queries to Picture Lifelogs for Memory Retrieval","authors":"Akira Kubota, T. Tominaga, Y. Hijikata, Nobuchika Sakata","doi":"10.1109/WI.2016.0123","DOIUrl":"https://doi.org/10.1109/WI.2016.0123","url":null,"abstract":"A picture lifelog is a type of lifelog that consists of pictures, mainly taken by the user. Recently, users have been able to easily create picture lifelogs because many portable devices such as smart phones have a camera. When a user sees a picture in their picture lifelog, it is sometimes difficult to recall the events related to the picture. Therefore, we proposed to combine search queries on a picture lifelog in order to support memory retrieval. Search queries are input into a web search engine to satisfy a user's need for information. Recently, because of the prevalence of smart phones, the opportunity to input search queries has increased to anytime and anywhere. Search queries are stored in a cloud user database such as Google search history. In addition, those search queries imply what the user was thinking at the time. We investigated whether search queries enable a user to recall their thoughts regarding picture lifelogs. Thus, we conducted an experiment to ascertain whether search queries reminded a user of past events. As a result, we reveal that displaying a picture with search queries performed around the time it was taken tends to improve users' memories better than its time, location, or emails sent during that time.","PeriodicalId":6513,"journal":{"name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"88 1","pages":"689-694"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85899459","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: 2

Wikipedia Editing History in DBpedia: Extracting and Publishing the Encyclopedia Editing Activity as Linked Data DBpedia中的维基百科编辑历史:作为关联数据的百科全书编辑活动的提取和发布

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0079

Fabien L. Gandon, R. Boyer, O. Corby, Alexandre Monnin

引用次数: 2

Predicting Web User Click Intention Using Pupil Dilation and Electroencephalogram Analysis 利用瞳孔扩张和脑电图分析预测网络用户点击意图

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0065

Gino Slanzi, Jorge A. Balazs, J. D. Velásquez

{"title":"Predicting Web User Click Intention Using Pupil Dilation and Electroencephalogram Analysis","authors":"Gino Slanzi, Jorge A. Balazs, J. D. Velásquez","doi":"10.1109/WI.2016.0065","DOIUrl":"https://doi.org/10.1109/WI.2016.0065","url":null,"abstract":"In this work, a new approach for analysing the Web user behavior is introduced, consisting of a physiological-based click intention assessment, based on pupil dilation and electroencephalogram (EEG) responses evaluation. For this, an empirical study was conducted, where the mentioned responses of 21 subjects were recorded while performing diverse information foraging tasks from five real web sites. We found a statistical difference between click and not-click pupil dilation curves, more precisely, fixations corresponding to clicks had greater pupil size than fixations without clicks. In addition, seven classification models were applied, using 15 out 789 pupil dilation and EEG features obtained from a Random Lasso feature selection process. Results showed good performance for Accuracy (71,09% using Logistic Regression), whereas for Precision, Recall and F-Measure remained low, which indicates the behavior we were studying was not well classified. Despite the quality of these results, it is possible to mention that the reviewed responses could be used from a Web Intelligence perspective as a proxy of Web user behavior, for example, to generate an online recommender to improve websites structure or content. However, we concluded that better quality instruments are necessary to achieve higher results.","PeriodicalId":6513,"journal":{"name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"33 1","pages":"417-420"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87530092","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

DisCSPs with Privacy Recast as Planning Problems for Self-Interested Agents 具有隐私的csp被重新定义为自利益主体的规划问题

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0057

Julien Savaux, Julien Vion, S. Piechowiak, R. Mandiau, T. Matsui, K. Hirayama, M. Yokoo, Shakre Elmane, M. Silaghi

{"title":"DisCSPs with Privacy Recast as Planning Problems for Self-Interested Agents","authors":"Julien Savaux, Julien Vion, S. Piechowiak, R. Mandiau, T. Matsui, K. Hirayama, M. Yokoo, Shakre Elmane, M. Silaghi","doi":"10.1109/WI.2016.0057","DOIUrl":"https://doi.org/10.1109/WI.2016.0057","url":null,"abstract":"Much of the Distributed Constraint Satisfaction Problem (DisCSP) solving research has addressed cooperating agents, and privacy was frequently mentioned as a significant motivation of the decentralization. While privacy may have a role for cooperating agents, it is easier understood in the context of self-interested utility-based agents, and this is the situation considered here. With utility-based agents, the DisCSP framework can be extended to model privacy and satisfaction under the concept of utility. We introduce Utilitarian Distributed Constraint Satisfaction Problems (UDisCSP), an extension of the DisCSP that exploits the rewards for finding a solution and the costs for losing privacy as guidance for the utility-based agents. A parallel can be drawn between Partially Observable Markov Decision Processes (POMDPs) and the problems solved by individual agents for UDisCSPs. Common DisCSP solvers are extended to take into account the utility function. In these extensions we assume that the planning problem is further restricting the set of communication actions to only the ones available in the corresponding solver protocols. The solvers obtained propose the action to be performed in each situation, defining thereby the policy of the agents.","PeriodicalId":6513,"journal":{"name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"29 1","pages":"359-366"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86150314","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

Just-In-Time Recommendation Approach within a Mobile Context 移动环境下的即时推荐方法

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0112

Imen Akermi, M. Boughanem, R. Faiz

引用次数: 7

Modeling User Expectations & Satisfaction for SaaS Applications Using Multi-agent Negotiation 使用多代理协商对SaaS应用程序的用户期望和满意度建模

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0062

A. Najjar, C. Gravier, Xavier Serpaggi, O. Boissier

引用次数: 16

Web Page Recommendation Based on Bitwise Frequent Pattern Mining 基于位频繁模式挖掘的网页推荐

2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2016-10-01 DOI: 10.1109/WI.2016.0111

Fan Jiang, C. Leung, Adam G. M. Pazdor

引用次数: 17