Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources

Ricardo Kawase; Patrick Siehndel; Bernardo Pereira Nunes; Eelco Herder; Wolfgang Nejdl

doi:10.1145/2631775.2631797

Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources

Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes, Eelco Herder, Wolfgang Nejdl

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Heterogeneous content is an inherent problem for cross-system search, recommendation and personalization. In this paper we investigate differences in topic coverage and the impact of topics in different kinds of Web services. We use entity extraction and categorization to create fingerprints that allow for meaningful comparison. As a basis taxonomy, we use the 23 main categories of Wikipedia Category Graph, which has been assembled over the years by the wisdom of the crowds. Following a proof of concept of our approach, we analyze differences in topic coverage and topic impact. The results show many differences between Web services like Twitter, Flickr and Delicious, which reflect users' behavior and the usage of each system. The paper concludes with a user study that demonstrates the benefits of fingerprints over traditional textual methods for recommendations of heterogeneous resources.

Original language	English
Title of host publication	HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
Publisher	Association for Computing Machinery
Pages	56-65
Number of pages	10
ISBN (Print)	9781450329545
DOIs	https://doi.org/10.1145/2631775.2631797
Publication status	Published - 2014
Externally published	Yes
Event	25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile Duration: 1 Sept 2014 → 4 Sept 2014

Publication series

Name	HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media

Conference

Conference	25th ACM Conference on Hypertext and Social Media, HT 2014
Country/Territory	Chile
City	Santiago
Period	1/09/14 → 4/09/14

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10.1145/2631775.2631797

Cite this

Kawase, R., Siehndel, P., Pereira Nunes, B., Herder, E., & Nejdl, W. (2014). Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 56-65). (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631797

Kawase, Ricardo ; Siehndel, Patrick ; Pereira Nunes, Bernardo et al. / Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. pp. 56-65 (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media).

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title = "Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources",

abstract = "Heterogeneous content is an inherent problem for cross-system search, recommendation and personalization. In this paper we investigate differences in topic coverage and the impact of topics in different kinds of Web services. We use entity extraction and categorization to create fingerprints that allow for meaningful comparison. As a basis taxonomy, we use the 23 main categories of Wikipedia Category Graph, which has been assembled over the years by the wisdom of the crowds. Following a proof of concept of our approach, we analyze differences in topic coverage and topic impact. The results show many differences between Web services like Twitter, Flickr and Delicious, which reflect users' behavior and the usage of each system. The paper concludes with a user study that demonstrates the benefits of fingerprints over traditional textual methods for recommendations of heterogeneous resources.",

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note = "25th ACM Conference on Hypertext and Social Media, HT 2014 ; Conference date: 01-09-2014 Through 04-09-2014",

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Kawase, R, Siehndel, P, Pereira Nunes, B, Herder, E & Nejdl, W 2014, Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources. in HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media, Association for Computing Machinery, pp. 56-65, 25th ACM Conference on Hypertext and Social Media, HT 2014, Santiago, Chile, 1/09/14. https://doi.org/10.1145/2631775.2631797

Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources. / Kawase, Ricardo; Siehndel, Patrick; Pereira Nunes, Bernardo et al.
HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. p. 56-65 (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Heterogeneous content is an inherent problem for cross-system search, recommendation and personalization. In this paper we investigate differences in topic coverage and the impact of topics in different kinds of Web services. We use entity extraction and categorization to create fingerprints that allow for meaningful comparison. As a basis taxonomy, we use the 23 main categories of Wikipedia Category Graph, which has been assembled over the years by the wisdom of the crowds. Following a proof of concept of our approach, we analyze differences in topic coverage and topic impact. The results show many differences between Web services like Twitter, Flickr and Delicious, which reflect users' behavior and the usage of each system. The paper concludes with a user study that demonstrates the benefits of fingerprints over traditional textual methods for recommendations of heterogeneous resources.

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Kawase R, Siehndel P, Pereira Nunes B, Herder E, Nejdl W. Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery. 2014. p. 56-65. (HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media). doi: 10.1145/2631775.2631797

Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources

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