Journal ArticleDOI
The State of the Art in Text Filtering
TLDR
A conceptual framework for text filtering practice and research is developed, and present practice in the field is reviewed, and user modeling techniques drawn from information retrieval, recommender systems, machine learning and other fields are described.Abstract:
This paper develops a conceptual framework for text filtering practice and research, and reviews present practice in the field. Text filtering is an information seeking process in which documents are selected from a dynamic text stream to satisfy a relatively stable and specific information need. A model of the information seeking process is introduced and specialized to define text filtering. The historical development of text filtering is then reviewed and case studies of recent work are used to highlight important design characteristics of modern text filtering systems. User modeling techniques drawn from information retrieval, recommender systems, machine learning and other fields are described. The paper concludes with observations on the present state of the art and implications for future research on text filtering.read more
Citations
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Journal ArticleDOI
Personalised hypermedia presentation techniques for improving online customer relationships
TL;DR: This article gives a comprehensive overview of techniques for personalised hypermedia presentation by describing the data about the computer user, the computer usage and the physical environment that can be taken into account when adapting hypermedia pages to the needs of the current user.
Journal ArticleDOI
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: A unifying and multimodal framework is put forward, which views a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: In this paper, a unifying and multimodal framework is proposed to view a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Journal ArticleDOI
Leveraging Tacit Organizational Knowledge
TL;DR: Using Polanyi's theories, it will be shown how intranet documents can be used to make tacit knowledge tangible without becoming explicit, suggesting that tacitly expressed entities are not necessarily beyond the reach of information technology.
Journal ArticleDOI
Information Filtering: Overview of Issues, Research and Systems
TL;DR: Research issues in the Information Filtering research arena are presented, such as user modeling, evaluation standardization and integration with digital libraries and Web repositories, and the framework to classify IF systems according to several parameters is defined.
References
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Book
Introduction to Modern Information Retrieval
Gerard Salton,Michael J. McGill +1 more
TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Journal ArticleDOI
Using collaborative filtering to weave an information tapestry
TL;DR: Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser.
Journal ArticleDOI
Untraceable electronic mail, return addresses, and digital pseudonyms
TL;DR: A technique based on public key cryptography is presented that allows an electronic mail system to hide who a participant communicates with as well as the content of the communication - in spite of an unsecured underlying telecommunication system.
Journal ArticleDOI
Recommender systems
Paul Resnick,Hal R. Varian +1 more
TL;DR: This special section includes descriptions of five recommender systems, which provide recommendations as inputs, which the system then aggregates and directs to appropriate recipients, and which combine evaluations with content analysis.
Journal ArticleDOI
Fab: content-based, collaborative recommendation
Marko Balabanovic,Yoav Shoham +1 more
TL;DR: It is explained how a hybrid system can incorporate the advantages of both methods while inheriting the disadvantages of neither, and how the particular design of the Fab architecture brings two additional benefits.