@article{torres2004, title = {Enhancing Digital Libraries with TechLens+}, address = {Tuscon, AZ}, author = {Roberto Torres and Sean M. Mcnee and Mara Abel and Joseph A. Konstan and John Riedl}, journal = {International Conference on Digital Libraries,Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries}, pages = {228--236}, year = 2004, url = {http://delivery.acm.org/10.1145/1000000/996402/p228-torres.pdf?key1=996402\&key2=4160880311\&coll=GUIDE\&dl=GUIDE\&CFID=57065195\&CFTOKEN=9858647}, biburl = {http://www.bibsonomy.org/bibtex/248f75fe2cebfaa9123786e3d26ede1fd/armin_}, keywords = {recommender collaborativeFiltering evaluation} } @article{ir2005005, title = {A study of factors affecting the utility of implicit relevance feedback }, author = {R. W. White and I. Ruthven and J. M. Jose}, booktitle = {Proceedings of the Twenty-Eighth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval}, note = {in press}, year = 2005, url = {http://www2.dcc.ufmg.br/eventos/sigir2005/}, description = {userContext implicitFeedback ImplicitInterestIndicators}, biburl = {http://www.bibsonomy.org/bibtex/248151977d419058193c7426f91178599/armin_}, keywords = {imported} } @article{ir2005000, title = {An implicit feedback approach for interactive information retrieval}, author = {R. W. White and J. M. Jose and I. Ruthven}, journal = {Information Processing and Management}, month = {January}, number = 1, pages = {166-190}, volume = 42, year = 2006, url = {http://www.elsevier.com/wps/find/journaldescription.cws_home/244/description#description}, issn = {0306-4573}, description = {implicitFeedback implicitInterestIndicators userContext}, biburl = {http://www.bibsonomy.org/bibtex/2c9ad0b4130127d0802da7fc5e59ed542/armin_}, keywords = {imported} } @phdthesis{ziegler2005, title = {Towards Decentralized Recommender Systems}, author = {Cai-Nicolas Ziegler}, school = {Albert-Ludwigs-Universit¨at Freiburg - Fakult¨at f¨ur Angewandte Wissenschaften, Institut f¨ur Informatik}, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/2af9a3e1807b309c0ba03173d944c816a/armin_}, keywords = {userProfileServices contentBasedFiltering recommender collaborativeFiltering} } @inproceedings{1060754, title = {Improving recommendation lists through topic diversification}, address = {New York, NY, USA}, author = {Cai-Nicolas Ziegler and Sean M. McNee and Joseph A. Konstan and Georg Lausen}, booktitle = {WWW '05: Proceedings of the 14th international conference on World Wide Web}, pages = {22--32}, publisher = {ACM Press}, year = 2005, location = {Chiba, Japan}, isbn = {1-59593-046-9}, doi = {http://doi.acm.org/10.1145/1060745.1060754}, biburl = {http://www.bibsonomy.org/bibtex/28c44d8e6f51364e3133b82771ce0f4a5/armin_}, keywords = {userProfileServices contentBasedFiltering recommender collaborativeFiltering} } @article{kobsa2001, title = {Personalised hypermedia presentation techniques}, author = {Wolfgang Pohl Alfred Kobsa}, journal = {The Knowledge Engineering Review}, number = 2, pages = {111-155}, publisher = {Cambridge University Press}, volume = 16, year = 2001, biburl = {http://www.bibsonomy.org/bibtex/24f117439d1df10e217bd3cdfc5f36493/armin_}, keywords = {userProfileServices personalisation} } @article{montaner2003, title = {A Taxonomy of Recommender Agents on the Internet}, author = {Josep Lluis De La Rosa Miguel Montaner}, journal = {Artificial Intelligence Review}, pages = {285-330}, publisher = {Kluwer Academic Publishers}, volume = 19, year = 2003, biburl = {http://www.bibsonomy.org/bibtex/21b86a08b94f10c27d35c4f2ac00c66e0/armin_}, keywords = {userProfileServices contentBasedFiltering recommender collaborativeFiltering} } @proceedings{-, title = {Integration of Knowledge Management and (e)Learning J.UCS Special Issue}, editor = {Johannes Farmer Stefanie N. Lindstaedt}, number = 3, publisher = {Journal of Universal Computer Science (J.UCS)}, volume = 11, year = 2005, owner = {aulbrich}, biburl = {http://www.bibsonomy.org/bibtex/220b979b245cdd94fc19342147ced245c/armin_}, keywords = {iwl learning knowledgeManagement} } @inproceedings{-, title = {Exploiting User and Process Context for Knowledge Management Systems}, address = {Sonthofen, Germany}, author = {Heiko Maus Ludger van Elst}, booktitle = {Workshop on User Modelling for Context-Aware Applications at the 18th Int. Conf. on User Modelling}, month = {July}, year = 2001, owner = {aulbrich}, abstract = {In application areas like personal information agents and intelligent tutoring systems, user models typically maintain sophisticated representations of personal interest profiles and knowledge / skill levels. These representations can be utilized for effective information retrieval and filtering as well as for personalized information presentation. Information delivery services within organizational memories mainly address the same goals, but prevalently derive information needs from the concrete business task at hand (e.g., see [2] ). To this end, business process models are extended by task and role specific information needs. Usually, it is not taken into account which employee actually deals with a given task. Apparently, intelligent information services in a business environment should combine both, the personal and the business process perspective. In this paper, we present the FRODO architecture for business process oriented Knowledge Management which amalgamates models of tasks, roles and users into a specific context for information supply. Thus, a better integration of individual and organizational concerns in the Organizational Memory (OM) can be achieved.}, biburl = {http://www.bibsonomy.org/bibtex/2d898e8658f3e16d6100769d2a489a02c/armin_}, keywords = {process userProfileServices} } @article{-, title = {Personalised hypermedia presentation techniques for improving online customer relationships}, author = {Wolfgang Pohl Alfred Kobsa}, journal = {The Knowledge Engineering Review}, pages = {111-155}, volume = {16:2}, year = 2001, owner = {aulbrich}, abstract = {This article gives a comprehensive overview of techniques for personalised hypermedia presentation. It describes the data about the computer user, the computer usage and the physical environment that can be taken into account when adapting hypermedia pages to the needs of the current user. Methods for acquiring these data, for representing them as models in formal systems and for making generalisations and predictions about the user based thereon are discussed. Different types of hypermedia adaptation to the individual user�s needs are distinguished and recommendations for further research and applications given. While the focus of the article is on hypermedia adaptation for improving customer relationship management utilising the World Wide Web, many of the techniques and distinctions also apply to other types of personalised hypermedia applications within and outside the World Wide Web, like adaptive educational systems.}, biburl = {http://www.bibsonomy.org/bibtex/2d27704df7c1108d52ebd51f714a45077/armin_}, keywords = {hypermedia personalisation} }