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A blue social bookmark and publication sharing system.

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Testing and Evaluating Tag Recommenders in a Live System

by: Robert Jäschke and Folke Eisterlehner and Andreas Hotho and Gerd Stumme

In: Workshop on Knowledge Discovery, Data Mining, and Machine Learning , sep (2009) , p. 44 --51.

Resources (URL, PDF, PS...)

URL:	http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf

The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating the power of the framework.

BibTeX record

@inproceedings{jaeschke2009testingKDML,
  author = {Robert Jäschke and Folke Eisterlehner and Andreas Hotho and Gerd Stumme},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Dominik Benz and Frederik Janssen},
  interHash = {440fafda1eccf4036066f457eb6674a0},
  intraHash = {5e8f40e610e723e966676772aa205f80},
  pages = {44 --51},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = {2009},
  month = sep,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.}
}

Endnote record

%0 Conference Paper
%1 jaeschke2009testingKDML
%A Robert Jäschke
%A Folke Eisterlehner
%A Andreas Hotho
%A Gerd Stumme
%B Workshop on Knowledge Discovery, Data Mining, and Machine Learning
%D 2009
%E Dominik Benz
%E Frederik Janssen
%K 
%P 44 --51
%T Testing and Evaluating Tag Recommenders in a Live System
%U http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf
%X The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.

BibSonomy :: BibTeX ::

Testing and Evaluating Tag Recommenders in a Live System

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record