The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The following topics are dealt with: Web usage mining; Web intelligence; Web information retrieval; Web information extraction; Web information classification; Web content mining; semantic Web and ontologies; XML and semistructured data; Web services; Web interfaces; multi-agent systems; mobile computing; intelligent networked systems; information security; e-learning; e-government; e-commerce and...
This paper discussed the mail community partition and the property of the mail community, and proposed an algorithm, called ACCD/C, to partition mail communities based on adjusting community center dynamically with correction. The algorithm adopted a method of cosine measure to evaluate the similarity between two mailboxes based on the characteristics of mailboxes' communication behavior, partition...
How to capture a user's interested Web pages (IWPs) is very important in a Web personalized service. In this paper, a method to capture a user's IWPs by combining a quantized analysis of the user's browsing actions and query words has been presented. To distinguish the differences among users and at different time of a user, a set of parameters have been introduced when calculating the contribution...
K-means clustering algorithm is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt...
Collaborative filtering has been very successful in both research and applications. Current collaborative filtering based on clustering compute the whole set of items during the process of clustering or selecting nearest-neighbors, because the researchers believed if users have similar preferences on some of items, they will have the similar preferences on other items. But we think that users have...
Firstly, it discusses the main characteristic of workflow management system (WfMS) which is used to solve Web-based domain problem, then it put forward a collaborative control system structure including three key modules under cooperative network environment, named as domain process rule base (RB), workflow template base (WfTB) and workflow collaborative solving cooperator(WfCC) separately. Furthermore,...
The World Wide Web has undergone major transformation during last few years, primarily due to its newly discovered ability to harness collective intelligence of the millions of users across the world. Users are no longer only passive consumers; they are actively participating to create new and useful content and more rich & personalized Web applications. Techniques to leverage user contributions...
Using comment information available from Digg we define a co-participation network between users. We focus on the analysis of this implicit network, and study the behavioral characteristics of users. Using an entropy measure, we infer that users at Digg are not highly focused and participate across a wide range of topics. We also use the comment data and social network derived features to predict...
Reducing users' fatigue and improving the performance are two focuses of the research of interactive evolutionary computation (IEC). Aiming at the focuses, knowledge learning in IEC is put forward. Before the discussion of knowledge learning, the issue of information sampled from history evolution is discussed, from which the knowledge is extracted. The knowledge learning based on gene-sense-unit...
Query interfaces provided by the Deep Web are clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local-as-view (LAV) method in the traditional information fusion system. To address the problem, an Ontology extended semantic related group algorithm is presented. The algorithm is to extract attributes using...
Current mobile Web search engines essentially conduct document-level ranking and retrieval. However, structured information about real-world objects embedded in static WebPages and online databases exists in huge amounts. We explore a new paradigm to enable Web search at the object level in this paper, extracting and integrating Web information for objects relevant to a specific application domain...
At present Chinese word segmentation roughly consists of two mature methods: dictionary-based method and statistical method. Both methods have their own relative merits. To achieve a better performance, this paper proposes an algorithm using amended dictionary integrating with suffix array to detect OOV words. The essential idea is to accurately and efficiently extract medium and high frequency lexical...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.