Web Intell. Agent Syst.最新文献_第3页

Analyzing the performance of multiple agents with varying bidding behaviors and standard bidders in online auctions 分析不同竞价行为的多代理和标准竞价人在网络拍卖中的表现

Web Intell. Agent Syst. Pub Date : 2013-04-01 DOI: 10.3233/WIA-130270

Jacob Sow, P. Anthony, Chong Mun Ho

引用次数: 3

Investigating query bursts in a web search engine 调查网络搜索引擎中的突发查询

Web Intell. Agent Syst. Pub Date : 2013-04-01 DOI: 10.3233/WIA-130265

Ilija Subasic, C. Castillo

{"title":"Investigating query bursts in a web search engine","authors":"Ilija Subasic, C. Castillo","doi":"10.3233/WIA-130265","DOIUrl":"https://doi.org/10.3233/WIA-130265","url":null,"abstract":"The Internet has become for many the most important medium for staying informed about current news events. Some events cause heightened interest on a topic, which in turn yields a higher frequency of the search queries related to it. These queries are going through a “query burst”. In this paper we examine the behavior of search engine users during a query burst, compared to before and after the burst. We are interested in how this behavior changes, and how it affects other stake-holders in web search.We analyze one year of web-search and news-search logs, looking at query bursts from multiple perspectives. First, we adopt the perspective of search engine users, describing changes in their effort and interest while searching. Second, we adopt the perspective of news providers by comparing web search and news search query bursts. Third, we look at the burst from the perspective of content providers.We study the conditions under which content providers can “ride” a wave of increased interest on a topic, and obtain a share of the user's increased attention. We do so by identifying the class of queries that can be considered as an opportunity for content providers that are “late-comers” for a query, in the sense of not being among the first to write about its topic. We also present a simple model for predicting the click share content providers could obtain if they decide to provide content about these queries.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"89 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132418668","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

Predicting community preference of comments on the Social Web 预测社区对社交网络评论的偏好

Web Intell. Agent Syst. Pub Date : 2012-10-01 DOI: 10.3233/WIA-2012-0256

Chiao-Fang Hsu, James Caverlee, Elham Khabiri

{"title":"Predicting community preference of comments on the Social Web","authors":"Chiao-Fang Hsu, James Caverlee, Elham Khabiri","doi":"10.3233/WIA-2012-0256","DOIUrl":"https://doi.org/10.3233/WIA-2012-0256","url":null,"abstract":"Large-scale socially-generated metadata --like user-contributed tags, comments, and ratings --is one of the key features driving the growth and success of the emerging Social Web. While tags and ratings provide succinct metadata about Social Web content e.g., a tag is often a single keyword, user-contributed comments offer the promise of a rich source of contextual information about Social Web content but in a potentially “messier” form, considering the wide variability in quality, style, and substance of comments generated by a legion of Social Web participants. In this paper, we study how an online community perceives the relative quality of its own user-contributed comments, which has important implications for the successful self-regulation and growth of the Social Web in the presence of increasing spam and a flood of Social Web metadata. Concretely, we propose and evaluate a machine learning-based approach for ranking comments on the Social Web based on the community's expressed preferences, which can be used to promote high-quality comments and filter out low-quality comments. We study several factors impacting community preference, including the contributor's reputation and community activity level, as well as the complexity and richness of the comment. Through experiments over three social news platforms Digg, Reddit, and the New York Times, we find that the proposed approach results in significant improvement in ranking quality versus alternative approaches.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"50 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131475112","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

A distributed multi-agent planning approach for automated web services composition 用于自动web服务组合的分布式多代理规划方法

Web Intell. Agent Syst. Pub Date : 2012-10-01 DOI: 10.3233/WIA-2012-0255

Mohamad El Falou, M. Bouzid, A. Mouaddib, Thierry Vidal

{"title":"A distributed multi-agent planning approach for automated web services composition","authors":"Mohamad El Falou, M. Bouzid, A. Mouaddib, Thierry Vidal","doi":"10.3233/WIA-2012-0255","DOIUrl":"https://doi.org/10.3233/WIA-2012-0255","url":null,"abstract":"The ability to automatically answer a request that requires the composition of a set of web services has received much interest in the last decade, as it supports B2B applications. It aims at selecting and inter-connecting services provided by different partners in response to client requests. Planning techniques are used widely in the literature to describe web services composition problem. However, since web services proliferate day after day, classical planners are no longer well suited to compose web services in a reasonable time. This weakness is due to the explosion of the search space caused by the large number of services and the broad range of data exchanged among services. Therefore it is more interesting to use a decentralized planner to distribute the search space and the computing load taking into account the distributed nature of the problem. In this paper, we propose a distributed multi-agent approach to solving the web services composition problem at runtime. Our approach consists of a set of web services agents where each agent has a set of services organised in a graph. To respond to a request, agents propose their best local partial plans which are partial paths in the graph. They then coordinate their partial plans to provide the best global plan for the submitted request. The analysis of the complexity and the results of the implementation show the ability of our approach to scaling up when compared to the state-of-the-art techniques for automated web services composition.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"37 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427681","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: 12

Minimization of decoy effects in recommender result sets 在推荐结果集中最小化诱饵效应

Web Intell. Agent Syst. Pub Date : 2012-10-01 DOI: 10.3233/WIA-2012-0253

E. Teppan, A. Felfernig

{"title":"Minimization of decoy effects in recommender result sets","authors":"E. Teppan, A. Felfernig","doi":"10.3233/WIA-2012-0253","DOIUrl":"https://doi.org/10.3233/WIA-2012-0253","url":null,"abstract":"Recommender systems are common web applications which support users in finding suitable products in large and/or complex product domains. Although state-of-the-art systems manage to accomplish the task of finding and presenting suitable products they show big deficits in their models of human behavior. Time limitations, cognitive capacities and willingness to cognitive effort bound rational decision making which can lead to unforeseen side effects and consequently to sub-optimal decisions. Decoy effects are cognitive phenomena which are omni-present on result pages but state-of-the-art recommender systems are completely unaware of such effects. Due to the fact that such effects constitute one source of irrational decisions their identification and, if necessary, the neutralization of their biasing potential is extremely important. This paper introduces an approach for identifying and minimizing decoy effects on recommender result pages. To support the suggested approach we present the results of a corresponding user study which clearly proves the concept. Moreover, this paper also investigates whether the decreasing impact of decoys on uncertainty levels during decision making is affected by the decoy minimization approach.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755343","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: 32

Learning web-service task descriptions from traces 从跟踪中学习web服务任务描述

Web Intell. Agent Syst. Pub Date : 2012-10-01 DOI: 10.3233/WIA-2012-0254

Thomas J. Walsh, M. Littman, Alexander Borgida

引用次数: 0

An approach to deriving a virtual thematic folksonomy based system from a social inter-folksonomy based scenario 一种从基于社会的民间分类学情境中衍生出基于虚拟主题的民间分类学系统的方法

Web Intell. Agent Syst. Pub Date : 2012-10-01 DOI: 10.3233/WIA-2012-0252

Antonino Nocera, D. Ursino

引用次数: 0

Modeling agents with a theory of mind: Theory-theory versus simulation theory 用心智理论建模代理:理论-理论与模拟理论

Web Intell. Agent Syst. Pub Date : 2012-07-01 DOI: 10.3233/WIA-2012-0250

M. Harbers, K. Bosch, J. Meyer

引用次数: 15

Personalized recommender systems integrating tags and item taxonomy 个性化推荐系统集成标签和项目分类

Web Intell. Agent Syst. Pub Date : 2012-07-01 DOI: 10.3233/WIA-2012-0246

Huizhi Liang, Yue Xu, Yuefeng Li

引用次数: 2

Bricking Semantic Wikipedia by relation population and predicate suggestion 用关系填充和谓词提示构建语义维基百科

Web Intell. Agent Syst. Pub Date : 2012-07-01 DOI: 10.3233/WIA-2012-0249

Haofen Wang, L. Fu, Yong Yu

{"title":"Bricking Semantic Wikipedia by relation population and predicate suggestion","authors":"Haofen Wang, L. Fu, Yong Yu","doi":"10.3233/WIA-2012-0249","DOIUrl":"https://doi.org/10.3233/WIA-2012-0249","url":null,"abstract":"Semantic Wikipedia aims to enhance Wikipedia by adding explicit semantics to links between Wikipedia entities. However, we have observed that it currently suffers the following limitations: lack of semantic annotations and lack of semantic annotators. In this paper, we resort to relation population to automatically extract relations between any entity pair to enrich semantic data, and predicate suggestion to recommend proper relation labels to facilitate semantic annotating. Both tasks leverage relation classification which tries to classify extracted relation instances into predefined relations. However, due to the lack of labeled data and the excessiveness of noise in Semantic Wikipedia, existing approaches cannot be directly applied to these tasks to obtain high-quality annotations. In this paper, to tackle the above problems brought by Semantic Wikipedia, we use a label propagation algorithm and exploit semantic features like domain and range constraints on categories as well as linguistic features such as dependency trees of context sentences in Wikipedia articles. The experimental results on 7 typical relation types show the effectiveness and efficiency of our approach in dealing with both tasks.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131359612","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