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Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)最新文献

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Future view: Web navigation based on learning user's browsing patterns 未来展望:基于学习用户浏览模式的Web导航
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241261
N. Nagino, S. Yamada
{"title":"Future view: Web navigation based on learning user's browsing patterns","authors":"N. Nagino, S. Yamada","doi":"10.1109/WI.2003.1241261","DOIUrl":"https://doi.org/10.1109/WI.2003.1241261","url":null,"abstract":"We propose a future view system that assists user's usual Web browsing. The future view will prefetch Web pages based on user's browsing strategies and present them to a user in order to assist Web browsing. To learn user's browsing patterns, the future view uses two types of learning classifier systems: a content-based classifier system for contents change patterns and an action-based classifier system for user's action patterns. The results of learning are applied to crawling by Web robot, and gathered Web pages are presented to a user through a Web browser. We experimentally show effectiveness of navigation using the future view.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149931","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
Web intelligence in information retrieval 信息检索中的网络智能
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241227
K. Curran, Cliona Murphy, Stephen Annesley
{"title":"Web intelligence in information retrieval","authors":"K. Curran, Cliona Murphy, Stephen Annesley","doi":"10.1109/WI.2003.1241227","DOIUrl":"https://doi.org/10.1109/WI.2003.1241227","url":null,"abstract":"Web Intelligence is a fascinating area in the very early stages of research and development. It combines the interaction of the human mind and artificial intelligence with networks and technology. How will the next generation Web mature? With the imminent growth of Web intelligence what expectations do users have? Users will expect more from the Web than for it to merely pass raw data between people via search engines. We attempt to define and summarise the concept of Web Intelligence, highlight the key elements of Web Intelligence, and explore the topic of Web information retrieval with particular focus on multimedia/information retrieval and intelligent agents.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134441314","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: 19
Integrating ontological and linguistic knowledge for conceptual information extraction 整合本体论和语言学知识，用于概念信息提取
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241190
Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto
{"title":"Integrating ontological and linguistic knowledge for conceptual information extraction","authors":"Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto","doi":"10.1109/WI.2003.1241190","DOIUrl":"https://doi.org/10.1109/WI.2003.1241190","url":null,"abstract":"Text understanding makes strong assumptions about the conceptualisation of the underlying knowledge domain. This mediates between the accomplishment of the specific task at the one hand and the knowledge expressed in the target text fragments at the other. However, building domain conceptualisations from scratch is a very complex and time-consuming task. Traditionally, the reuse of available domain resources, although not constituting always the best, has been applied as an accurate and cost effective solution. Here, we investigate the possibility of exploiting sources of domain knowledge (e.g. a subject reference system) to build a linguistically motivated domain concept hierarchy. The limitation connected with the use of domain taxonomies as ontological resources will be firstly discussed in the specific light of IE, i.e. for supporting linguistic inference. We then define a method for integrating the taxonomical domain knowledge and a general-purpose lexical knowledge base, like WordNet. A case study, i.e. the integration of the MeSH, Medical Subject Headings, and WordNet, will be then presented as a proof of the effectiveness and accuracy of the overall approach.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133235398","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: 24
INTIMATE: a Web-based movie recommender using text categorization 一个基于网络的电影推荐，使用文本分类
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241277
Harry Mak, I. Koprinska, Josiah Poon
{"title":"INTIMATE: a Web-based movie recommender using text categorization","authors":"Harry Mak, I. Koprinska, Josiah Poon","doi":"10.1109/WI.2003.1241277","DOIUrl":"https://doi.org/10.1109/WI.2003.1241277","url":null,"abstract":"We present INTIMATE, a Web-based movie recommender that makes suggestions by using text categorization to learn from movie synopses. The performance of various feature representations, feature selectors, feature weighting mechanisms and classifiers is evaluated and discussed. INTIMATE was also compared with a feature-based movie recommender. The results show that the text-based approach outperforms the feature-based if the ratio of the number of user ratings to the vocabulary size is high.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133487006","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: 42
A data-mining approach for optimizing performance of an incremental crawler 一种用于优化增量爬虫性能的数据挖掘方法
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241279
Hadrien Bullot, S. Gupta, M. Mohania
{"title":"A data-mining approach for optimizing performance of an incremental crawler","authors":"Hadrien Bullot, S. Gupta, M. Mohania","doi":"10.1109/WI.2003.1241279","DOIUrl":"https://doi.org/10.1109/WI.2003.1241279","url":null,"abstract":"Crawlers visit the Web to maintain a local repository of Web pages up to date. We introduce another perspective to build an effective incremental crawler. Based on previous work in this field, we study how we can improve the performance of a crawler using data-mining. The information collected from the users can help the crawler to know which are the popular pages and to revisit them as soon as possible.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128993786","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: 18
WebKIV: visualizing structure and navigation for Web mining applications WebKIV: Web挖掘应用程序的可视化结构和导航
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241195
Yonghe Niu, Tong Zheng, Jiyang Chen, R. Goebel
{"title":"WebKIV: visualizing structure and navigation for Web mining applications","authors":"Yonghe Niu, Tong Zheng, Jiyang Chen, R. Goebel","doi":"10.1109/WI.2003.1241195","DOIUrl":"https://doi.org/10.1109/WI.2003.1241195","url":null,"abstract":"A significant part of the Web mining problem is simply in understanding the value of any mining method. For example, the value of Web mining to improve user navigation is even more challenging if one can't visualize the differences over a large collection of Web pages or a significant structure within the existing Web. We present WebKIV, a tool we've developed to help us visualize our own results in Web mining. WebKIV combines strategies from several other Web visualization tools, to provide a single method of visualizing Web structure, and the results of Web mining on that structure. We summarize the value of Web visualization tools along the dimensions of scale (can one visualize small and large structures), navigation dynamics (can one visualize navigation dynamically or statically), and cumulative usage (can one distinguish individual and aggregate Web usage). We then show how WebKIV provides a way of visualizing the results of Web mining in a way that distinguishes properties along all three of these dimensions.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115958850","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
Exploiting a search engine to develop more flexible Web agents 利用搜索引擎开发更灵活的Web代理
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241173
Shou-de Lin, Craig A. Knoblock
{"title":"Exploiting a search engine to develop more flexible Web agents","authors":"Shou-de Lin, Craig A. Knoblock","doi":"10.1109/WI.2003.1241173","DOIUrl":"https://doi.org/10.1109/WI.2003.1241173","url":null,"abstract":"With the rapid growth of the World Wide Web, more and more people rely on the online services to acquire and integrate information. However, it is time consuming to find the online services that are perfectly suited for a given task. First, the users might not have enough information to fill in the required input fields for querying an online service. Second, the online service might generate only partial information. Third, the user might only find the inverse version of the desired service. We propose a framework to develop flexible Web agents that handle these imperfect situations. In this framework we exploit a search engine as a general information discovery tool to assist finding and pruning information. To demonstrate this framework, we implemented two Web agents: the Internet inverse geocoder and the address lookup module.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115636012","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
An online multi-agent e-sales recruitment system 一个在线多代理电子销售招聘系统
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241181
R. Khosla, Tharanga Goonesekera
{"title":"An online multi-agent e-sales recruitment system","authors":"R. Khosla, Tharanga Goonesekera","doi":"10.1109/WI.2003.1241181","DOIUrl":"https://doi.org/10.1109/WI.2003.1241181","url":null,"abstract":"E-recruitment area has emerged as an important e-business function in the past few years. We describe a novel e-recruitment multiagent application for recruitment and benchmarking of salespersons. Most existing approaches to recruitment rely on the interview process or on psychometric techniques. Both these approaches have had limited success. We describe a multiagent e-sales recruitment system (e-SRS), which integrates a selling behavioral model with expert systems and soft computing techniques like fuzzy-K-means for predicting the selling behavior profile of a sales candidate.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114879698","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: 17
Using the KDD process to support Web site reconfigurations 使用KDD过程来支持网站重新配置
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241254
J. D. Velásquez, H. Yasuda, T. Aoki, R. Weber
{"title":"Using the KDD process to support Web site reconfigurations","authors":"J. D. Velásquez, H. Yasuda, T. Aoki, R. Weber","doi":"10.1109/WI.2003.1241254","DOIUrl":"https://doi.org/10.1109/WI.2003.1241254","url":null,"abstract":"The continuous improvement of a Web site's content, can be the key to attract new customers or maintain the existing ones. A way to obtain such improvement, is to study the behavior of a user while browsing in the Web. For the analysis of this behavior two variables are of particular interest: the pages visited during a user session and the time spent in each one of them. The respective Web log files contain part of this data. These files, however, can contain a huge number of registers where large part of them possibly do not contain relevant information. This is one of the reasons why finding initially unknown and useful relations in Web log registers is a complex task, which can be performed applying the process of knowledge discovery in databases (KDD). We propose a methodology for Web mining based on a data mart model. We applied this methodology analyzing log files from a certain Web site. The respective results, gave very important insights regarding visitors behavior and preferences. This knowledge has been used in the Web site's reconfiguration.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340074","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
A recommendation algorithm using multi-level association rules 基于多级关联规则的推荐算法
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241257
Choonho Kim, Juntae Kim
{"title":"A recommendation algorithm using multi-level association rules","authors":"Choonho Kim, Juntae Kim","doi":"10.1109/WI.2003.1241257","DOIUrl":"https://doi.org/10.1109/WI.2003.1241257","url":null,"abstract":"Recommendation systems predict user's preference to suggest items. Collaborative filtering is the most popular method in implementing a recommendation system. The collaborative filtering method computes similarities between users based on each user's known preference, and recommends the items preferred by similar users. Although the collaborative filtering method generally shows good performance, it suffers from two major problems - data sparseness and scalability. We present a model-based recommendation algorithm that uses multilevel association rules to alleviate those problems. In this algorithm, we build a model for preference prediction by using association rule mining. Multilevel association rules are used to compute preferences for items. The experimental results show that applying multilevel association rules is effective, and performance of the algorithm is improved compared with the collaborative filtering method in terms of the recall and the computation time.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126708378","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: 73
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