TY - GEN
T1 - Personalized resource search by tag-based user profile and resource profile
AU - CAI, Yi
AU - LI, Qing
AU - XIE, Haoran
AU - YU, Lijuan
PY - 2010
Y1 - 2010
N2 - With the increase of media-sharing web sites such as YouTube and Flickr, there are more and more shared multimedia resources on the Web. Multimedia search becomes more important and challenging, as users demand higher retrieval quality. To achieve this goal, multimedia search needs to take users' personalized information into consideration. Collaborative tagging systems allow users to annotate resources with their own tags, which provide a simple but powerful way for organizing, retrieving and sharing different types of social media. The user profiles obtained from collaborative tagging systems should be very useful for resource retrieval. In this paper, we propose a new method to model user profiles and resource profiles from wider perspectives and apply them to personalized resource search in a collaborative tagging environment. We implement a prototype system named as FMRS. Experiments in FMRS show that our proposed method outperforms baseline methods.
AB - With the increase of media-sharing web sites such as YouTube and Flickr, there are more and more shared multimedia resources on the Web. Multimedia search becomes more important and challenging, as users demand higher retrieval quality. To achieve this goal, multimedia search needs to take users' personalized information into consideration. Collaborative tagging systems allow users to annotate resources with their own tags, which provide a simple but powerful way for organizing, retrieving and sharing different types of social media. The user profiles obtained from collaborative tagging systems should be very useful for resource retrieval. In this paper, we propose a new method to model user profiles and resource profiles from wider perspectives and apply them to personalized resource search in a collaborative tagging environment. We implement a prototype system named as FMRS. Experiments in FMRS show that our proposed method outperforms baseline methods.
UR - http://www.scopus.com/inward/record.url?scp=78751480378&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17616-6_45
DO - 10.1007/978-3-642-17616-6_45
M3 - Conference paper (refereed)
AN - SCOPUS:78751480378
SN - 9783642176159
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 510
EP - 523
BT - Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings
A2 - CHEN, Lei
A2 - TRIANTAFILLOU, Peter
A2 - SUEL, Torsten
PB - Springer
CY - Berlin
T2 - 11th International Conference on Web Information Systems Engineering
Y2 - 12 December 2010 through 14 December 2010
ER -