| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Ailon, N. & Mohri, M. | An efficient reduction of ranking to classification | 2007 | misc | URL | |
| Abstract: This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most that of the binary classifier regret, improving a recent result of Balcan et al which only guarantees a factor of 2. Moreover, our reduction applies to a broader class of ranking loss functions, admits a simpler proof, and the expected running time complexity of our algorithm in terms of number of calls to a classifier or preference function is improved from $n^2)$ to $O(n log n)$. In addition, when the top $k$ ranked elements only are required ($k ll n$), as in many applications in information extraction or search engines, the time complexity of our algorithm can be further reduced to $O(k log k + n)$. Our reduction and algorithm are thus practical for realistic applications where the number of points to rank exceeds several thousands. Much of our results also extend beyond the bipartite case previously studied. | |||||
BibTeX:
@misc{ailon-2007,
author = {Nir Ailon and Mehryar Mohri},
title = {An efficient reduction of ranking to classification},
year = {2007},
url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0710.2889}
}
|
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| Al-Khalifa, H. | CoolRank: A Social Solution for Ranking Bookmarked Web Resources | 2007 | Innovations in Information Technology, 2007. Innovations '07. 4th International Conference on | inproceedings | DOIURL |
| Abstract: Users tag resources for a variety of reasons and using a variety of conventions. The tags that they provide are stored in social bookmarking services, so these services can provide a rich gateway to a wide and interesting quantity of web resources. The cognitive effort that has gone into making these tags has presumably added value to the description of the resource. In this work we utilize the quantitative value of these tags for ranking bookmarked web resources in social bookmarking services. Our proposed solution is called CoolRank, a simple and intuitive model to rank bookmarked web resources in a social bookmarking service, such as del.icio.us. CoolRank makes use of both quantitative information, based on the number of people who have bookmarked a web resource, and subjective information, based on the words people have used in their tags. | |||||
BibTeX:
@inproceedings{AlKhalifa:2007,
author = {H.S. Al-Khalifa},
title = {CoolRank: A Social Solution for Ranking Bookmarked Web Resources},
booktitle = {Innovations in Information Technology, 2007. Innovations '07. 4th International Conference on},
year = {2007},
pages = {208-212},
url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4430482},
doi = {http://dx.doi.org/10.1109/IIT.2007.4430482}
}
|
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| Butler, D. | Free journal-ranking tool enters citation market [BibTeX] |
2008 | Nature | article | DOIURL |
BibTeX:
@article{Butler:2008:Nature:18172465,
author = {D Butler},
title = {Free journal-ranking tool enters citation market},
journal = {Nature},
year = {2008},
volume = {451},
number = {7174},
pages = {6-6},
url = {http://www.nature.com/news/2008/080102/full/451006a.html},
doi = {http://dx.doi.org/10.1038/451006a}
}
|
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| Hotho, A. | Social Bookmarking [BibTeX] |
2008 | Web 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software | inbook | URL |
BibTeX:
@inbook{hotho2008bookmarking,
author = {Andreas Hotho},
title = {Social Bookmarking},
booktitle = {Web 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software},
publisher = {Oldenbourg Verlag},
year = {2008},
pages = {26-38},
url = {http://www.amazon.de/gp/redirect.html%3FASIN=3486585797%26tag=ws%26lcode=xm2%26cID=2025%26ccmID=165953%26location=/Web-2-0-Unternehmenspraxis-Grundlagen-Fallstudien/dp/3486585797%253FSubscriptionId=13CT5CVB80YFWJEPWS02}
}
|
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| Ifrim, G., Theobald, M. & Weikum, G. | Learning Word-to-Concept Mappings for Automatic Text Classification [BibTeX] |
2005 | Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005) | inproceedings | URL |
BibTeX:
@inproceedings{IfrimTW-ICML2005,
author = {Georgiana Ifrim and Martin Theobald and Gerhard Weikum},
title = {Learning Word-to-Concept Mappings for Automatic Text Classification},
booktitle = {Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005)},
year = {2005},
pages = {18--26},
url = {http://www.mpi-inf.mpg.de/~ifrim/publications/icml-lws05.pdf}
}
|
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| Java, A., Joshi, A. & Finin, T. | Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies [BibTeX] |
2008 | WebKDD 2008 Workshop on Web Mining and Web Usage Analysis | inproceedings | |
BibTeX:
@inproceedings{Detecting_Commmunities_via_Simultaneous_Clustering_of_Graphs_and_Folksonomies,
author = {Akshay Java and Anupam Joshi and Tim Finin},
title = {{Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}},
booktitle = {WebKDD 2008 Workshop on Web Mining and Web Usage Analysis},
year = {2008},
note = {To Appear}
}
|
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| Jäschke, R., Hotho, A., Schmitz, C., Ganter, B. & Stumme, G. | Discovering Shared Conceptualizations in Folksonomies | 2008 | Web Semantics: Science, Services and Agents on the World Wide WebSemantic Web and Web 2.0 | article | URL |
| Abstract: Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples. | |||||
BibTeX:
@article{jaeschke2008discovering,
author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme},
title = {Discovering Shared Conceptualizations in Folksonomies},
booktitle = {Semantic Web and Web 2.0},
journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
year = {2008},
volume = {6},
number = {1},
pages = {38--53},
note = { },
url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b}
}
|
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| Staab, S. & Studer, R. | Handbook on ontologies [BibTeX] |
2004 | International handbooks on information systems | book | |
BibTeX:
@book{keyhere,
author = {Steffen Staab and Rudi Studer},
title = {Handbook on ontologies},
booktitle = {International handbooks on information systems},
publisher = {Springer},
year = {2004},
pages = {--}
}
|
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| Völker, J., Vrandecic, D., Sure, Y. & Hotho, A. | AEON - An Approach to the Automatic Evaluation of Ontologies [BibTeX] |
2008 | Journal of Applied Ontology | article | URL |
BibTeX:
@article{voelker2008aeon,
author = {Johanna Völker and Denny Vrandecic and York Sure and Andreas Hotho},
title = {AEON - An Approach to the Automatic Evaluation of Ontologies},
journal = {Journal of Applied Ontology},
year = {2008},
note = {to appear},
url = {http://ontoware.org/projects/aeon/}
}
|
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| Proceedings of the First International Workshop on Emergent Semantics and Ontology Evolution, ESOE 2007, co-located with ISWC 2007 + ASWC 2007, Busan, Korea, November 12th, 2007 [BibTeX] |
2007 | ESOE | proceedings | URL | |
BibTeX:
@proceedings{semweb2007esoe,,
title = {Proceedings of the First International Workshop on Emergent Semantics and Ontology Evolution, ESOE 2007, co-located with ISWC 2007 + ASWC 2007, Busan, Korea, November 12th, 2007},
booktitle = {ESOE},
publisher = {CEUR-WS.org},
year = {2007},
volume = {292},
url = {http://dblp.uni-trier.de/db/conf/semweb/esoe2007.html}
}
|
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