%0 %0 Conference Proceedings %A Byde, Andrew; Wan, Hui & Cayzer, Steve %D 2007 %T Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics %E %B Proceedings of the International Conference on Weblogs and Social Media %C %I %V %6 %N %P %& %Y %S %7 %8 March %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F byde2007personalized %K tagging, similarity, recommender, tag, content %X This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases. %Z %U http://www.icwsm.org/papers/paper47.html %+ %^ %0 %0 Conference Proceedings %A Byde, Andrew; Wan, Hui & Cayzer, Steve %D 2007 %T Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics %E %B Proceedings of the International Conference on Weblogs and Social Media %C %I %V %6 %N %P %& %Y %S %7 %8 March %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F Byde2007 %K tagging, taggingsurvey, recommender, collaborative, social, filtering, bookmarking, toread %X This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases. %Z %U http://www.icwsm.org/papers/paper47.html %+ %^ %0 %0 Conference Proceedings %A Michlmayr, Elke & Cayzer, Steve %D 2007 %T Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access %E %B Tagging and Metadata for Social Information Organization Workshop, WWW07 %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F michlmayr07 %K tagging, taggingsurvey, profile, folksonomy, user, toread %X %Z %U %+ %^