Search (443 results, page 1 of 23)

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Date

1. 8.1996 22:08:06

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Abstract

Develops frameworks to help Internet media designers address end user information presentation preferences by advancing structures for assessing metadata design variables. Design variables are then linked to user cognitive styles. An underlying theme is that artificial intelligence methodologies may be used to help automate the Internet media design process and to provide personalized and customized experiences. User preferences concerning knowledge acquisition in online experiences provide the basis for discussions of cognitive analysis, and are extended into structural implications for media design and interaction

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Abstract

Most on-line news sources are electronic versions of "ink-on-paper" newspapers. These are versions that have been filtered, from the mass of news produced each day, by an editorial board with a given community profile in mind. As readers, we choose the filter rather than choose the stories. New technology, however, provides the potential for personalized versions to be filtered automatically from this mass of news on the basis of user profiles. People read the news for many reasons: to find out "what's going on," to be knowledgeable members of a community, and because the activity itself is pleasurable. Given this, we ask the question, "How much filtering is acceptable to readers?" In this study, an evaluation of user preference for personal editions versus community editions of on-line news was performed. A personalized edition of a local newspaper was created for each subject based on an elliptical model that combined the user profile and community profile as represented by the full edition of the local newspaper. The amount of emphasis given the user profile and the community profile was varied to test the subjects' reactions to different amounts of personalized filtering. The task was simply, "read the news," rather than any subject specific information retrieval task. The results indicate that users prefer the coarse-grained community filters to fine-grained personalized filters

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Abstract

A novel idea of media agent is briefly presented, which can automatically build a personalized semantic index of Web media objects for each particular user. Because the Web is a rich source of multimedia data and the text content on the Web pages is usually semantically related to those media objects on the same pages, the media agent can automatically collect the URLs and related text, and then build the index of the multimedia data, on behalf of the user whenever and wherever she accesses these multimedia data or their container Web pages. Moreover, the media agent can also use an off-line crawler to build the index for those multimedia objects that are relevant to the user's favorites but have not accessed by the user yet. When the user wants to find these multimedia data once again, the semantic index facilitates text-based search for her.

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Abstract

Over the past few years the amount of information available on the WWW has grown so much and so fast that there is no accurate way to count or estimate it. Directory services and search tools do not learn about the searcher nor adapt themselves to his needs. Draws attention to a new generation of WWW sites that can be customized to the needs of users and offers examples of some of these personalized services

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Abstract

This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents an the Web), expert advice repositories (domain-expert-specified metadata for information resources), and personalized information about users (captured as user profiles that indicate users' preferences about experts as well as users' knowledge about topics). Expert advice, the heart of the Web information space model, is specified using topics and relationships among topics (called metalinks), along the lines of the recently proposed topic maps. Topics and metalinks constitute metadata that describe the contents of the underlying HTML/XML Web resources. The metadata specification process is semiautomated, and it exploits XML DTDs (Document Type Definition) to allow domain-expert guided mapping of DTD elements to topics and metalinks. The expert advice is stored in an object-relational database management system (DBMS). To demonstrate the practicality and usability of the proposed Web information space model, we created a prototype expert advice repository of more than one million topics/metalinks for DBLP (Database and Logic Programming) Bibliography data set. We also present a query interface that provides sophisticated querying fa cilities for DBLP Bibliography resources using the expert advice repository.

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Abstract

Aufgabe des Wissensmanagements ist es, den Mitarbeitern im Unternehmen entscheidungs- und handlungsrelevante Informationen bereitzustellen und die Mitarbeiter bei der intelligenten Verarbeitung dieser Informationen zu unterstützen. Ein hierzu genutztes Werkzeug von wachsender Bedeutung sind Unternehmensportale. Wir beschreiben kurz die Entwicklung von Portalen im World Wide Web (WWW), um dann Web-Portale von verschiedenen Arten von Unternehmensportalen abzugrenzen. Wir zeigen erwartete Funktionalitäten auf und stellen ein 5-Schichten Modell einer Gesamtarchitektur für Portale dar, welche die wesentlichen Komponenten umfasst. Im Anschluss werden die Besonderheiten der organisatorischen Realisierung und im Ausblick der Übergang von Portalen zum ,ubiquitous personalized information supply", der überall verfügbaren und individuellen Informationsversorgung behandelt

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Abstract

Electronic news has long held the promise of personalized and dynamic delivery of current event new items, particularly for Web users. Although wlwctronic versions of print news are now widely available, the personalization of that delivery has not yet been accomplished. In this paper, we present a methodology of associating news documents based on the extraction of feature phrases, where feature phrases identify dates, locations, people and organizations. A news representation is created from these feature phrases to define news objects that can then be compared and ranked to find related news items. Unlike tradtional information retrieval, we are much more interested in precision than recall. That is, the user would like to see one or more specifically related articles, rather than all somewhat related articles. The algorithm is designed to work interactively the the user using regular web browsers as the interface

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Abstract

Directed Query Engines, an emerging class of search engine specifically designed to access distributed resources on the deep web, offer the opportunity to create inexpensive digital libraries. Already, one such engine, Distributed Explorer, has been used to select and assemble high quality information resources and incorporate them into publicly available systems for the physical sciences. By nesting Directed Query Engines so that one query launches several other engines in a cascading fashion, enormous virtual collections may soon be assembled to form a comprehensive information infrastructure for the physical sciences. Once a Directed Query Engine has been configured for a set of information resources, distributed alerts tools can provide patrons with personalized, profile-based notices of recent additions to any of the selected resources. Due to the potentially enormous size and scope of Directed Query Engine applications, consideration must be given to issues surrounding the representation of large quantities of information from multiple, heterogeneous sources.

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Abstract

The accurate suggestion of interesting friends arises as a crucial issue in recommendation systems. The selection of friends or followees responds to several reasons whose importance might differ according to the characteristics and preferences of each user. Furthermore, those preferences might also change over time. Consequently, understanding how friends or followees are selected emerges as a key design factor of strategies for personalized recommendations. In this work, we argue that the criteria for recommending followees needs to be adapted and combined according to each user's behavior, preferences, and characteristics. A method is proposed for adapting such criteria to the characteristics of the previously selected followees. Moreover, the criteria can evolve over time to adapt to changes in user behavior, and broaden the diversity of the recommendation of potential followees based on novelty. Experimental evaluation showed that the proposed method improved precision results regarding static criteria weighting strategies and traditional rank aggregation techniques.

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Abstract

Social media connected the world--and gave rise to fake news and increasing polarization. Now a leading researcher at MIT draws on 20 years of research to show how these trends threaten our political, economic, and emotional health in this eye-opening exploration of the dark side of technological progress. Today we have the ability, unprecedented in human history, to amplify our interactions with each other through social media. It is paramount, MIT social media expert Sinan Aral says, that we recognize the outsized impact social media has on our culture, our democracy, and our lives in order to steer today's social technology toward good, while avoiding the ways it can pull us apart. Otherwise, we could fall victim to what Aral calls "The Hype Machine." As a senior researcher of the longest-running study of fake news ever conducted, Aral found that lies spread online farther and faster than the truth--a harrowing conclusion that was featured on the cover of Science magazine. Among the questions Aral explores following twenty years of field research: Did Russian interference change the 2016 election? And how is it affecting the vote in 2020? Why does fake news travel faster than the truth online? How do social ratings and automated sharing determine which products succeed and fail? How does social media affect our kids? First, Aral links alarming data and statistics to three accelerating social media shifts: hyper-socialization, personalized mass persuasion, and the tyranny of trends. Next, he grapples with the consequences of the Hype Machine for elections, businesses, dating, and health. Finally, he maps out strategies for navigating the Hype Machine, offering his singular guidance for managing social media to fulfill its promise going forward. Rarely has a book so directly wrestled with the secret forces that drive the news cycle every day"

Content

Inhalt: Pandemics, Promise, and Peril -- The New Social Age -- The End of Reality -- The Hype Machine -- Your Brain on Social Media -- A Network's Gravity is Proportional to Its Mass -- Personalized Mass Persuasion -- Hypersocialization -- Strategies for a Hypersocialized World -- The Attention Economy and the Tyranny of Trends -- The Wisdom and Madness of Crowds -- Social Media's Promise Is Also Its Peril -- Building a Better Hype Machine.

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Abstract

News is information about recent events of general interest, especially as currently reportes by newspapers, periodicals, radio or television. News is the quintessential multimedia data. While newspaper editors (human and/or algorithmic) may still define the core content of electronic news, new communication technologies will enable the integration of news from a wide variety of sources and provide access to supplemental material from enormous archives of electronic news data (text, photos, and video) in digital libraries as well as the continual streams of newly created data. The goal of electronic news delivery within this context is, however, distiguishable from both news news groups and document retrieval. Electronic news promises to deliver to the reader an edited collage of recent events from wide domains in a manner that is both comprehensive and personalized. As part of a long-term research project into the design of future news delivery systems, we have developed an overall architecture and several prototypes. These prototypes are presented in the article, along with a discussion of issues related to the presentation metaphor and to the functionality of electronic news delivery services. A prototype was demonstrated at the 1995 G-7 Economic Summit in Halifax, Canada, integrating newspaper text and photographs with television news video clips across an ATM network

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Abstract

Consumer empowerment and the role of the expert patient in their own healthcare, enabled through timely access to quality information, have emerged as significant factors in better health and lifestyle outcomes. Governments, medical researchers, healthcare providers in the public and private sector, drug companies, health consumer groups, and individuals are increasingly looking to the Internet to both access and distribute health information, communicate with each other, and form supportive or collaborative online communities. Evaluating the accuracy, provenance, authority, and reliability of Web-based health information is a major priority. The Breast Cancer Knowledge Online Portal project (BCKOnline) explored the individual and changing information and decision support needs of women with breast cancer and the issues they face when searching for relevant and reliable health information on the Internet. Its user-sensitive research design integrated multidisciplinary methods including user information-needs analysis, knowledge-domain mapping, metadata modeling, and systems-development research techniques. The main outcomes were a personalized information portal driven by a metadata repository of user-sensitive resource descriptions, the BCKOnline Metadata Schema, richer understandings of the concepts of quality, relevance, and reliability, and a user-sensitive design methodology. This article focuses on the innovative, metadata-based quality reporting feature of the BCKOnline Portal, and concludes that it is timely to consider the inclusion of quality elements in resource discovery metadata schema, especially in the health domain.

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Content

Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].

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Date

22. 2.1997 19:50:29

Source

Cogito. 1997, H.1, S.22-23

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Source

RRZK-Kompass. 1995, Nr.65, S.21-22

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Date

5. 8.2001 12:22:47

Source

Information outlook. 3(1999) no.2, S.18-22

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Date

18. 1.1997 12:15:22

Source

Kölner Stadtanzeiger. Nr.69 vom 22/23.3.1997, S.MZ7

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Date

5. 9.1997 19:22:27

Source

Rundfunk und Geschichte. 22(1996) H.2/3, S.184-193