A Java-Based Approach to Active Collaborative Filtering

Christopher Lueg, Christoph Landolt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present an collaborative filtering approach to webpage filtering. The system supports users in exchanging recommendations and exploits the social relation between recommenders and recipients of recommendations instead of computing a degree of interest. In order to help users estimate the potential interestingness of a recommended webpage, the system augments the recommendation object with additional data indicating how previous recipients of the recommendation have dealt with the corresponding webpage. The system has been implemented as a collection of personal user agents exchanging recommendations with a central recommendation server. The user agents are implemented as Java applets and the recommendation server is a Java remote object realized as object factory.

Original languageEnglish (US)
Title of host publicationCHI 98 Conference Summary on Human Factors in Computing Systems, CHI 1998
PublisherAssociation for Computing Machinery
Pages319-320
Number of pages2
ISBN (Electronic)1581130287, 9781581130287
DOIs
StatePublished - Apr 1 1998
Externally publishedYes
Event1998 ACM Conference on Human Factors and Computing Systems, CHI 1998 - Los Angeles, United States
Duration: Apr 18 1998Apr 23 1998

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference1998 ACM Conference on Human Factors and Computing Systems, CHI 1998
Country/TerritoryUnited States
CityLos Angeles
Period4/18/984/23/98

Keywords

  • Java
  • Situatedness
  • WWW
  • collaborative filtering

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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