File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/978-3-319-31750-2_29
- Scopus: eid_2-s2.0-84987936715
- WOS: WOS:000389019600029
- Find via
Supplementary
- Citations:
- Appears in Collections:
Conference Paper: Fast and semantic measurements on collaborative tagging quality
Title | Fast and semantic measurements on collaborative tagging quality |
---|---|
Authors | |
Issue Date | 2016 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | The 20th Pacific-Asia Conference (PAKDD 2016), Auckland, New Zealand, 19-22 April 2016. In Conference Proceedings, 2016, v. 9652, p. 363-375 How to Cite? |
Abstract | This paper focuses on the problem of tagging quality evaluation in collaborative tagging systems. By investigating the dynamics of tagging process, we find that high frequency tags almost cover the main aspects of a resource content and can be determined stable much earlier than a whole tag set. Motivated by this finding, we design the swapping index and smart moving index on tagging quality. We also study the correlations in tag usage and propose the semantic measurement on tagging quality. The proposed methods are evaluated against real datasets and the results show that they are more efficient than previous methods, which are appropriate for a large number of web resources. The effectiveness is justified by the results in tag based applications. The light weight metrics bring a little loss on the performance, while the semantic metric is better than current methods. © Springer International Publishing Switzerland 2016. |
Description | LNCS v. 9652 entitled: Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part 2 |
Persistent Identifier | http://hdl.handle.net/10722/232185 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sun, Y | - |
dc.contributor.author | Sun, H | - |
dc.contributor.author | Cheng, RCK | - |
dc.date.accessioned | 2016-09-20T05:28:18Z | - |
dc.date.available | 2016-09-20T05:28:18Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | The 20th Pacific-Asia Conference (PAKDD 2016), Auckland, New Zealand, 19-22 April 2016. In Conference Proceedings, 2016, v. 9652, p. 363-375 | - |
dc.identifier.isbn | 978-3-319-31749-6 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/232185 | - |
dc.description | LNCS v. 9652 entitled: Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part 2 | - |
dc.description.abstract | This paper focuses on the problem of tagging quality evaluation in collaborative tagging systems. By investigating the dynamics of tagging process, we find that high frequency tags almost cover the main aspects of a resource content and can be determined stable much earlier than a whole tag set. Motivated by this finding, we design the swapping index and smart moving index on tagging quality. We also study the correlations in tag usage and propose the semantic measurement on tagging quality. The proposed methods are evaluated against real datasets and the results show that they are more efficient than previous methods, which are appropriate for a large number of web resources. The effectiveness is justified by the results in tag based applications. The light weight metrics bring a little loss on the performance, while the semantic metric is better than current methods. © Springer International Publishing Switzerland 2016. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | - |
dc.relation.ispartof | Lecture Notes in Computer Science | - |
dc.rights | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-31750-2_29 | - |
dc.title | Fast and semantic measurements on collaborative tagging quality | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Cheng, RCK: ckcheng@cs.hku.hk | - |
dc.identifier.authority | Cheng, RCK=rp00074 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-319-31750-2_29 | - |
dc.identifier.scopus | eid_2-s2.0-84987936715 | - |
dc.identifier.hkuros | 265280 | - |
dc.identifier.volume | 9652 | - |
dc.identifier.spage | 363 | - |
dc.identifier.epage | 375 | - |
dc.identifier.isi | WOS:000389019600029 | - |
dc.publisher.place | Germany | - |
dc.customcontrol.immutable | sml 161117 | - |
dc.identifier.issnl | 0302-9743 | - |