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Topic

Hyperlink

About: Hyperlink is a research topic. Over the lifetime, 4255 publications have been published within this topic receiving 143894 citations. The topic is also known as: link.


Papers
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Journal ArticleDOI
03 Apr 1998-Science
TL;DR: A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site.
Abstract: One of the most common modes of accessing information in the World Wide Web is surfing from one document to another along hyperlinks. Several large empirical studies have revealed common patterns of surfing behavior. A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site. This model was verified by comparing its predictions with detailed measurements of surfing patterns. The model also explains the observed Zipf-like distributions in page hits observed at Web sites.

772 citations

Proceedings Article
09 Dec 2003
TL;DR: A simple universal ranking algorithm for data lying in the Euclidean space, such as text or image data, to rank the data with respect to the intrinsic manifold structure collectively revealed by a great amount of data.
Abstract: The Google search engine has enjoyed huge success with its web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the web using random walks. Here we propose a simple universal ranking algorithm for data lying in the Euclidean space, such as text or image data. The core idea of our method is to rank the data with respect to the intrinsic manifold structure collectively revealed by a great amount of data. Encouraging experimental results from synthetic, image, and text data illustrate the validity of our method.

767 citations

Proceedings Article
01 Jul 1998
TL;DR: The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web, and several machine learning algorithms for this task are described.
Abstract: The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more effective retrieval of Web information, and promote new uses of the Web to support knowledge-based inference and problem solving. Our approach is to develop a trainable information extraction system that takes two inputs: an ontology defining the classes and relations of interest, and a set of training data consisting of labeled regions of hypertext representing instances of these classes and relations. Given these inputs, the system learns to extract information from other pages and hyperlinks on the Web. This paper describes our general approach, several machine learning algorithms for this task, and promising initial results with a prototype system.

766 citations

Patent
26 May 1995
TL;DR: In this paper, the authors describe a method of using a computer to hyperlink through automatically generated hyperlinks, and a data structure which can be used to support such hyperlinking.
Abstract: Method and apparatus to enable scanning one or more documents, automatically identifying significant key topics, concepts, and phrases in the documents, and creating summary pages for, and hyperlinks between, some or all of these key topics. Optionally, documents are divided into segments, in order that only the needed segment of a hyperlinked-to document need be transferred to a viewer's display. A process running on a computer can be used which (a) allows an author to select source documents and then, using a semantic analyzer program running on a computer, (b) automatically identifies significant key topics within the selected documents, (c) compiles those key topics into summary pages, (d) generates presentation pages and optionally segmenting the selected documents into smaller pieces, and (e) embeds hyperlinks from these summary pages to the locations where key topics appear in the presentation pages. Different types of summary-page are available, including abstract, concept, phrase, and table-of-contents summary pages. A summary page provides an index into the source document, and can be appended to the source document. A method of using a computer to hyperlink through automatically generated hyperlinks, and a data structure which can be used to support such hyperlinking are described.

657 citations

ReportDOI
01 Feb 1995
TL;DR: An information seeking assistant for the world wide web, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information.
Abstract: We describe an information seeking assistant for the world wide web. This agent, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information. Our primary focus to date has been on two issues: (1) organizing WebWatcher to provide interactive advice to Mosaic users while logging their successful and unsuccessful searches as training data, and (2) incorporating machine learning methods to automatically acquire knowledge for selecting an appropriate hyperlink given the current web page viewed by the user and the user’s information goal. We describe the initial design of WebWatcher, and the results of our preliminary learning experiments.

644 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202339
2022146
202160
202088
201982
2018106