%0 Conference Paper %1 voon2010recommendation %A Voon, Wong Pei %A Mustapha, Norwati %A Sulaiman, Md. Nasir %B Proceedings of the 12th International Conference on Information Integration and Web-based Applications &\#38; Services %C New York, NY, USA %D 2010 %I ACM %K recommender semantic sna tag warwick web %P 909--912 %R 10.1145/1967486.1967645 %T A tag recommendation approach based on social semantic web %U http://doi.acm.org/10.1145/1967486.1967645 %X Collaborative tagging applications or folksonomies allow internet users to annotate resources with personalized tags. However, freedom afforded users come at a cost: an uncontrolled vocabulary can result in tag ambiguity hindering navigation. Ambiguity can mislead users as they search for relevant resources. Recommenders that avoid ambiguous tags may be penalized by standard utility metrics for not promoting such tags.</p> <p>To provide effectiveness of tag recommendation in term of accuracy and coverage, we propose a new method for tag recommendation approach based on social semantic web to overcome ambiguity and presenting users tags and resources that correspond more closely. This method is a combination of semantic content analysis methods and social network analysis methods. %@ 978-1-4503-0421-4

@inproceedings{voon2010recommendation, abstract = {Collaborative tagging applications or folksonomies allow internet users to annotate resources with personalized tags. However, freedom afforded users come at a cost: an uncontrolled vocabulary can result in tag ambiguity hindering navigation. Ambiguity can mislead users as they search for relevant resources. Recommenders that avoid ambiguous tags may be penalized by standard utility metrics for not promoting such tags.</p> <p>To provide effectiveness of tag recommendation in term of accuracy and coverage, we propose a new method for tag recommendation approach based on social semantic web to overcome ambiguity and presenting users tags and resources that correspond more closely. This method is a combination of semantic content analysis methods and social network analysis methods.}, acmid = {1967645}, added-at = {2011-05-11T14:36:28.000+0200}, address = {New York, NY, USA}, author = {Voon, Wong Pei and Mustapha, Norwati and Sulaiman, Md. Nasir}, biburl = {https://www.bibsonomy.org/bibtex/26e732d28b921777fcd7b982d52e4f131/folke}, booktitle = {Proceedings of the 12th International Conference on Information Integration and Web-based Applications \&\#38; Services}, description = {A tag recommendation approach based on social semantic web}, doi = {10.1145/1967486.1967645}, interhash = {0322b0ae6ba92c45bb29de4a02c301f9}, intrahash = {6e732d28b921777fcd7b982d52e4f131}, isbn = {978-1-4503-0421-4}, keywords = {recommender semantic sna tag warwick web}, location = {Paris, France}, numpages = {4}, pages = {909--912}, publisher = {ACM}, series = {iiWAS '10}, timestamp = {2011-05-11T14:36:28.000+0200}, title = {A tag recommendation approach based on social semantic web}, url = {http://doi.acm.org/10.1145/1967486.1967645}, year = 2010 }