@inproceedings{Xu2008, title = {Exploring folksonomy for personalized search.}, author = {Shengliang Xu and Shenghua Bao and Ben Fei and Zhong Su and Yong Yu}, booktitle = {SIGIR}, editor = {Sung-Hyon Myaeng and Douglas W. Oard and Fabrizio Sebastiani and Tat-Seng Chua and Mun-Kew Leong}, pages = {155-162}, publisher = {ACM}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2e5878116541aa188a10e1ba898ea699e/rwdai}, keywords = {dblp } } @article{EsuliFagni06TreeBoosting, title = {TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization}, author = {Andrea Esuli and Tiziano Fagni and Fabrizio Sebastiani}, journal = {String Processing and Information Retrieval}, pages = {13--24}, url = {http://dx.doi.org/10.1007/11880561_2}, year = {2006}, biburl = {http://www.bibsonomy.org/bibtex/21162b911e6850767be4d39d9d9a102ac/mgrani}, abstract = {In this paper we propose TreeBoost.MH, an algorithm for multi-label Hierarchical Text Categorization (HTC) consisting of a hierarchical variant of AdaBoost.MH. TreeBoost.MH embodies several intuitions that had arisen before within HTC: e.g. the intuitions that both feature selection and the selection of negative training examples should be performed “locally”, i.e. by paying attention to the topology of the classificationscheme. It also embodies the novel intuition that the weight distribution that boosting algorithms update at every boostinground should likewise be updated “locally”. We present the results of experimenting TreeBoost.MH on two HTC benchmarks, and discuss analytically its computational cost.}, keywords = {boosting map reduce toread tree } } @inproceedings{Sanderson08, title = {Ambiguous queries: test collections need more sense.}, author = {Mark Sanderson}, booktitle = {SIGIR}, crossref = {conf/sigir/2008}, editor = {Sung-Hyon Myaeng and Douglas W. Oard and Fabrizio Sebastiani and Tat-Seng Chua and Mun-Kew Leong}, pages = {499-506}, publisher = {ACM}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#Sanderson08}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2e07ace7982843a7f629b31178333cedd/mkroell}, description = {dblp}, date = {2008-07-27}, ee = {http://doi.acm.org/10.1145/1390334.1390420}, isbn = {978-1-60558-164-4}, keywords = {ambiguity query toread } } @inproceedings{Seb99, title = {A Tutorial on Automted Text Categorisation}, author = {F. Sebastiani}, booktitle = {Proceedings of 1st Argentinian Symposium of Artificial Intelligence (ASAI-99) }, year = {1999}, biburl = {http://www.bibsonomy.org/bibtex/23854c4dee8e717d9e90c628700caf9d8/mcdiaz}, file = {#F#}, keywords = {imported } } @book{Seb02, title = {Machine Learning in Automated Text Categorization}, author = {F. Sebastiani}, publisher = {ACM Computing Surveys}, year = {2002}, biburl = {http://www.bibsonomy.org/bibtex/2a358e55cc82ddb91843affb1aa2eacdb/mcdiaz}, file = {#F#}, keywords = {imported } } @inproceedings{conf/sigir/LiuY08, title = {EigenRank: a ranking-oriented approach to collaborative filtering.}, author = {Nathan Nan Liu and Qiang Yang}, booktitle = {SIGIR}, crossref = {conf/sigir/2008}, editor = {Sung-Hyon Myaeng and Douglas W. Oard and Fabrizio Sebastiani and Tat-Seng Chua and Mun-Kew Leong}, pages = {83-90}, publisher = {ACM}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#LiuY08}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/20bc9cecf6e190d4184f649b8612e8015/dblp}, description = {dblp}, date = {2008-09-23}, ee = {http://doi.acm.org/10.1145/1390334.1390351}, isbn = {978-1-60558-164-4}, keywords = {dblp } } @inproceedings{teevan2008, title = {To personalize or not to personalize: modeling queries with variation in user intent}, author = {J. Teevan and S. T. Dumais and D. J. Liebling}, booktitle = {SIGIR}, crossref = {conf/sigir/2008}, editor = {S.-H. Myaeng and D. W. Oard and F. Sebastiani and T.-S. Chua and M.-K. Leong}, pages = {163-170}, publisher = {ACM}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#TeevanDL08}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/23f9d36a744f49ec244843425c2884d31/mstrohm}, description = {dblp}, date = {2008-07-27}, ee = {http://doi.acm.org/10.1145/1390334.1390364}, isbn = {978-1-60558-164-4}, keywords = {SEMINAL goals query-log-analysis search } } @inproceedings{Teevan08, title = {To personalize or not to personalize: modeling queries with variation in user intent.}, author = {Jaime Teevan and Susan T. Dumais and Daniel J. Liebling}, booktitle = {SIGIR}, crossref = {conf/sigir/2008}, editor = {Sung-Hyon Myaeng and Douglas W. Oard and Fabrizio Sebastiani and Tat-Seng Chua and Mun-Kew Leong}, pages = {163-170}, publisher = {ACM}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#TeevanDL08}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/245c4673755fe518c9b88b5dd1ae65ef0/mkroell}, description = {dblp}, date = {2008-07-27}, ee = {http://doi.acm.org/10.1145/1390334.1390364}, isbn = {978-1-60558-164-4}, keywords = {WWW09 clickthrough intention personalization query } } @article{sebastiani2002, title = {Machine learning in automated text categorization}, address = {New York, NY, USA}, author = {Fabrizio Sebastiani}, journal = {ACM Comput. Surv.}, number = {1}, pages = {1--47}, publisher = {ACM}, url = {http://delivery.acm.org/10.1145/510000/505283/p1-sebastiani.pdf?key1=505283&key2=3794339121&coll=GUIDE&dl=GUIDE&CFID=165225&CFTOKEN=25706030}, volume = {34}, year = {2002}, biburl = {http://www.bibsonomy.org/bibtex/26f9a1eb64e076108f66e36f0992889af/hkorte}, issn = {0360-0300}, doi = {http://doi.acm.org/10.1145/505282.505283}, keywords = {machine_learning text_classification text_mining } } @article{sebastiani02categorization, title = {Machine learning in automated text categorization}, author = {Fabrizio Sebastiani}, journal = {ACM Comput. Surv.}, number = {1}, pages = {1-47}, publisher = {ACM Press}, url = {http://doi.acm.org/10.1145/505282.505283}, volume = {34}, year = {2002}, biburl = {http://www.bibsonomy.org/bibtex/26f9a1eb64e076108f66e36f0992889af/msn}, pdf = {sebastiani02categorization.pdf}, issn_ = {0360-0300}, language = {english}, keywords = {cites.gradu mrefs research.mining.classification } }