Learning user profiles from tagging data and leveraging them for personal(ized) information access
E. Michlmayr. In Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference (WWW2007, (2007)
Zusammenfassung
Due to the high popularity of social bookmarking systems, a large amount of metadata is available. Aggregating the metadata belonging to one user results in an user profile similar to those often used in Information Filtering. This paper shows how to create user profiles from tagging data. We present the Add-A-Tag algorithm for profile construction which takes account of the structural and temporal nature of tagging data. In addition, we explore ways of leveraging these user profiles. There are two main insights gained. Firstly, as we experienced in a small-scale user study, simply being able to view aggregated information about past tagging behavior was considered useful. Secondly, the user profile can be used to guide the user's navigation, that is, to provide the user with personalized access to information resources.
(private-note)This paper shows how to create user profiles from tagging data. First, the author talked about the drawbacks of the old approach to rank the tags of bookmark stored by the user, then provide the new algorithm which to analysis the user tagging data more precisely. The author analysis the combination of tags which annotate bookmarks instead of single tag, moreover the time factor are also included. Then, the author also provide user profile visualization methods together with user feedback about them. In the end, the author talked about how users can browse information resources through an representation of the user profile.
%0 Conference Paper
%1 citeulike:8273630
%A Michlmayr, Elke
%B In Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference (WWW2007
%D 2007
%K personalization tagging user-profile
%T Learning user profiles from tagging data and leveraging them for personal(ized) information access
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.8101
%X Due to the high popularity of social bookmarking systems, a large amount of metadata is available. Aggregating the metadata belonging to one user results in an user profile similar to those often used in Information Filtering. This paper shows how to create user profiles from tagging data. We present the Add-A-Tag algorithm for profile construction which takes account of the structural and temporal nature of tagging data. In addition, we explore ways of leveraging these user profiles. There are two main insights gained. Firstly, as we experienced in a small-scale user study, simply being able to view aggregated information about past tagging behavior was considered useful. Secondly, the user profile can be used to guide the user's navigation, that is, to provide the user with personalized access to information resources.
@inproceedings{citeulike:8273630,
abstract = {{Due to the high popularity of social bookmarking systems, a large amount of metadata is available. Aggregating the metadata belonging to one user results in an user profile similar to those often used in Information Filtering. This paper shows how to create user profiles from tagging data. We present the Add-A-Tag algorithm for profile construction which takes account of the structural and temporal nature of tagging data. In addition, we explore ways of leveraging these user profiles. There are two main insights gained. Firstly, as we experienced in a small-scale user study, simply being able to view aggregated information about past tagging behavior was considered useful. Secondly, the user profile can be used to guide the user's navigation, that is, to provide the user with personalized access to information resources.}},
added-at = {2018-03-19T12:24:51.000+0100},
author = {Michlmayr, Elke},
biburl = {https://www.bibsonomy.org/bibtex/2e00fc7498ee803a7e64166d9ef171c71/aho},
booktitle = {In Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference (WWW2007},
citeulike-article-id = {8273630},
citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.8101},
comment = {(private-note)This paper shows how to create user profiles from tagging data. First, the author talked about the drawbacks of the old approach to rank the tags of bookmark stored by the user, then provide the new algorithm which to analysis the user tagging data more precisely. The author analysis the combination of tags which annotate bookmarks instead of single tag, moreover the time factor are also included. Then, the author also provide user profile visualization methods together with user feedback about them. In the end, the author talked about how users can browse information resources through an representation of the user profile.},
interhash = {6be3ca99e1335939b247c520db5d7e82},
intrahash = {e00fc7498ee803a7e64166d9ef171c71},
keywords = {personalization tagging user-profile},
posted-at = {2013-04-24 15:16:37},
priority = {2},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Learning user profiles from tagging data and leveraging them for personal(ized) information access}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.8101},
year = 2007
}