@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/krass},
	keywords = {systems recommender}
}

@inproceedings{295795,
        title = {Recommendation as classification: using social and content-based information in recommendation},
        address = {Menlo Park, CA, USA},
        author = {Chumki Basu and Haym Hirsh and William Cohen},
        booktitle = {AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence},
        pages = {714--720},
        publisher = {American Association for Artificial Intelligence},
        year = 1998,
        url = {ftp://ftp.cs.rutgers.edu/pub/hirsh/papers/1998/aaai1.ps},
        location = {Madison, Wisconsin, United States},
	isbn = {0-262-51098-7},
	biburl = {http://www.bibsonomy.org/bibtex/290f4b7eab8a7a308c6e077a993cd19d8/krass},
	keywords = {recommender}
}

@inproceedings{658298,
        title = {Collaborative Learning and Recommender Systems},
        address = {San Francisco, CA, USA},
        author = {Wee Sun Lee},
        booktitle = {ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning},
        pages = {314--321},
        publisher = {Morgan Kaufmann Publishers Inc.},
        year = 2001,
        url = {http://www.comp.nus.edu.sg/~leews/publications/icml01.pdf},
        isbn = {1-55860-778-1},
	description = {Collaborative Learning and Recommender Systems},
	biburl = {http://www.bibsonomy.org/bibtex/2cf5ddf4740a73d8c161e704cac3240f6/krass},
	keywords = {collaborative recommender}
}

@inproceedings{conf/ismis/PapagelisRPT05,
        title = {Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms.},
        author = {Manos Papagelis and Ioannis Rousidis and Dimitris Plexousakis and Elias Theoharopoulos},
        booktitle = {ISMIS},
        crossref = {conf/ismis/2005},
        editor = {Mohand-Said Hacid and Neil V. Murray and Zbigniew W. Ras and Shusaku Tsumoto},
        pages = {553-561},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 3488,
        year = 2005,
        url = {http://dblp.uni-trier.de/db/conf/ismis/ismis2005.html#PapagelisRPT05},
        ee = {http://dx.doi.org/10.1007/11425274_57},
	isbn = {3-540-25878-7},
	date = {2005-05-19},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2ded3292a825c77e9fe2c81374b0a9d8c/krass},
	keywords = {collaborative recommender}
}

@inproceedings{Byde2007,
        title = {Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics},
        author = {Andrew Byde and Hui Wan and Steve Cayzer},
        booktitle = {Proceedings of the International Conference on Weblogs and Social Media},
        month = {March},
        year = 2007,
        url = {http://www.icwsm.org/papers/paper47.html},
        priority = {5},
	abstract = {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.},
	biburl = {http://www.bibsonomy.org/bibtex/2157846898c1c2a65c265a913ebac115a/krass},
	keywords = {recommender}
}

@inproceedings{jaeschke07tagKdml,
        title = {Tag Recommendations in Folksonomies},
        author = {Robert Jaeschke and Leandro Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme},
        booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
        editor = {Alexander Hinneburg},
        month = {sep},
        pages = {13-20},
        publisher = {Martin-Luther-Universität Halle-Wittenberg},
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf},
        isbn = {978-3-86010-907-6},
	biburl = {http://www.bibsonomy.org/bibtex/271bc9f8ae1a53632dc9a2b98b017f152/krass},
	keywords = {recommender folksonomies}
}

@inproceedings{DBLP:conf/pkdd/JaschkeMHSS07,
        title = {Tag Recommendations in Folksonomies},
        author = {Robert Jäschke and Leandro Balby Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme},
        booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings},
        crossref = {DBLP:conf/pkdd/2007},
        editor = {Joost N. Kok and Jacek Koronacki and Ramon López de Mántaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron},
        pages = {506-514},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 4702,
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf},
        ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52},
	bibsource = {DBLP, http://dblp.uni-trier.de},
	isbn = {978-3-540-74975-2},
	description = {DBLP Record 'conf/pkdd/JaschkeMHSS07'},
	biburl = {http://www.bibsonomy.org/bibtex/2b8b87c78e9e27a44aacde0402c642bff/krass},
	keywords = {recommender}
}

@inproceedings{conf/iccbr/McCarthyMS07,
        title = {Case-Based Group Recommendation: Compromising for Success.},
        author = {Kevin McCarthy and Lorraine McGinty and Barry Smyth},
        booktitle = {ICCBR},
        crossref = {conf/iccbr/2007},
        editor = {Rosina Weber and Michael M. Richter},
        pages = {299-313},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 4626,
        year = 2007,
        url = {http://dblp.uni-trier.de/db/conf/iccbr/iccbr2007.html#McCarthyMS07},
        ee = {http://dx.doi.org/10.1007/978-3-540-74141-1_21},
	isbn = {978-3-540-74138-1},
	date = {2007-08-27},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2059fc499b7695abb606c247565a52786/krass},
	keywords = {cbr recommender}
}

@inproceedings{jaeschke07tagKdml,
        title = {Tag Recommendations in Folksonomies},
        author = {Robert Jäschke and Leandro Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme},
        booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
        editor = {Alexander Hinneburg},
        month = {sep},
        pages = {13-20},
        publisher = {Martin-Luther-Universität Halle-Wittenberg},
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf},
        isbn = {978-3-86010-907-6},
	biburl = {http://www.bibsonomy.org/bibtex/2bfc43dfe59f9c0935ac3364b12e6d795/krass},
	keywords = {recommender}
}

@inproceedings{1111506,
        title = {Group recommender systems: a critiquing based approach},
        address = {New York, NY, USA},
        author = {Kevin McCarthy and Maria Salam\'{o} and Lorcan Coyle and Lorraine McGinty and Barry Smyth and Paddy Nixon},
        booktitle = {IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces},
        pages = {267--269},
        publisher = {ACM},
        year = 2006,
        url = {http://portal.acm.org/citation.cfm?id=1111506&coll=Portal&dl=ACM&CFID=4934939&CFTOKEN=73863746},
        location = {Sydney, Australia},
	isbn = {1-59593-287-9},
	doi = {http://doi.acm.org/10.1145/1111449.1111506},
	abstract = {Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users, with potentially competing interests, is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying to plan a skiing vacation.},
	biburl = {http://www.bibsonomy.org/bibtex/2a2eb4ff4df8094d4de9643d2e9db64a1/krass},
	keywords = {recommender}
}

@article{ieKey,
        title = {Empfehlungssysteme aus informationswissenschaftlicher Sicht-State of the Art},
        author = {Stefanie Höhfeld and Melanie Kwiatkowski},
        journal = {IWP-Information Wissenschaft & Praxis},
        number = 5,
        pages = {265-276},
        volume = 58,
        year = 2007,
        url = {http://wwwalt.phil-fak.uni-duesseldorf.de/infowiss/admin/public_dateien/files/58/1189509550empfehlung.pdf},
        description = {Recommendersysteme - Informationswissenschaft
-> citavi, OK.},
	abstract = {Empfehlungssysteme tragen Inhalte individuell an Nutzer im WWW heran, basierend auf deren konkreten Bedürfnissen, Vorlieben und Interessen. Solche Systeme können Produkte, Services, Nutzer (mit analogen Interessen) uvm. vorschlagen und stellen damit – gerade im Web 2.0-Zeitalter – eine besondere Form der Personalisierung sowie des social networking dar. Damit bieten Empfehlungssysteme Anbietern im ECommerce einen entscheidenden Marktvorteil, weshalb die Auswertung der Kundendaten bei großen Firmen wie Amazon, Google oder Ebay eine hohe Priorität besitzt. Aus diesem Grund wird im vorliegenden Artikel auf die Ansätze von Empfehlungssystemen, welche auf unterschiedliche Weise die Bedürfnisse des Nutzers aufgreifen bzw. „vorausahnen“ und ihm Vorschläge (aus verschiedenen Bereichen) unterbreiten können, eingegangen. Der Artikel liefert eine Definition und Darstellung der Arbeitsweisen von Empfehlungssystemen. Dabei werden die verschiedenen Methodiken jener Dienste vergleichend erläutert, um ihre jeweiligen Vor- und Nachteile deutlich zu machen. Außerdem wird der Ontologie- und Folksonomy-Einsatz innerhalb von Empfehlungssystemen beleuchtet, um Chancen und Risiken der Anwendung von Methoden der Wissensrepräsentation für zukünftige Forschungsarbeiten einschätzen zu können. Recommender Systems in an Information Science View – The State of the Art Recommender systems offer content individually to users in the WWW, based on their concrete needs, preferences and interests. Those systems can propose products, services, users (with analogous interests), etc.) and represent a special form of personalisation as well as of social networking – exactly in the Web 2.0 age. Recommender systems offer e.g. suppliers in the e-commerce a crucial market advantage. So, the evaluation of the customer data has high priority at big companies like Amazon, Google or Ebay. For this reason we engaged in recommender systems, which take up the user’s needs in different ways, to “anticipate“ needs and make suggestions (from different areas) to the user. This review article achieves a definition and representation of operations and methods of recommender systems. Exactly the different methodologies of those services should be expounded comparativly on that occasion in order to represent advantages and disadvantages. The use of ontologies and folksonomies as implementations in recommender systems is portrayed in order to be able to take into consideration chances and risks of the application of knowledge representation methods for future researches.},
	biburl = {http://www.bibsonomy.org/bibtex/2501849ade58a25831e72519f6add1313/krass},
	keywords = {recommender}
}

@inproceedings{thieme:recommender,
        title = {Compound Classification Models for Recommender Systems.},
        address = {Houston, Texas, USA},
        author = {Lars Schmidt-Thieme},
        booktitle = {Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005},
        pages = {378-385},
        publisher = {IEEE Computer Society},
        year = 2005,
        url = {http://www.informatik.uni-freiburg.de/cgnm/pub/pdfs/Schmidt-Thieme2005-compound-classifiers-for-recommender-systems.pdf},
        ee = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.46},
	bibsource = {DBLP, http://dblp.uni-trier.de},
	isbn = {0-7695-2278-5},
	biburl = {http://www.bibsonomy.org/bibtex/22c3aea62cafdd8a01a68e3fbed7b4071/krass},
	keywords = {recommender}
}

@inproceedings{DBLP:conf/pkdd/JaschkeMHSS07,
        title = {Tag Recommendations in Folksonomies},
        author = {Robert Jäschke and Leandro Balby Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme},
        booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings},
        crossref = {DBLP:conf/pkdd/2007},
        editor = {Joost N. Kok and Jacek Koronacki and Ramon López de Mántaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron},
        pages = {506-514},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 4702,
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf},
        ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52},
	bibsource = {DBLP, http://dblp.uni-trier.de},
	isbn = {978-3-540-74975-2},
	biburl = {http://www.bibsonomy.org/bibtex/21df0274ddea4223119f1090f236a6f1f/krass},
	keywords = {recommender folksonomy}
}

@inproceedings{odonovan-iui05,
        title = {Trust in recommender systems},
        author = {John O'Donovan and Barry Smyth},
        booktitle = {Proceedings of the 10th International Conference on Intelligent User Interfaces},
        pages = {167--174},
        publisher = {ACM Press},
        year = 2005,
        location = {San Diego, California, USA},
	isbn = {1-58113-894-6},
	doi = {http://doi.acm.org/10.1145/1040830.1040870},
	description = {my pubs},
	biburl = {http://www.bibsonomy.org/bibtex/2fc992ab4f141f3901c106ef2d9ad01cf/krass},
	keywords = {recommender}
}

@incollection{acf,
        title = {Collaborative Filtering Recommender Systems },
        author = {J. Ben Schafer and D. Frankowski and J. Herlocker and S. Sen},
        booktitle = {The Adaptive Web: Methods and Strategies of Web Personalization, Lecture Notes in Computer Science, Vol. 4321},
        editor = {P. Brusilovsky and A. Kobsa and W. Nejdl},
        pages = {291--324},
        publisher = {Springer-Verlag},
        year = 2006,
        location = {Berlin Heidelberg New York},
	description = {Intelligent Content Discovery on the Mobile Internet: Experiences and Lessons, AI Magazine 2008},
	biburl = {http://www.bibsonomy.org/bibtex/2f824738b8a6b97d8d4ca29961abf0863/krass},
	keywords = {recommender}
}

@inproceedings{good99combining,
        title = {Combining Collaborative Filtering with Personal Agents for Better Recommendations},
        author = {Nathaniel Good and J. Ben Schafer and Joseph A. Konstan and Al Borchers and Badrul M. Sarwar and Jonathan L. Herlocker and John Riedl},
        booktitle = {{AAAI}/{IAAI}},
        pages = {439-446},
        year = 1999,
        url = {citeseer.ist.psu.edu/good99combining.html},
        description = {Combining Collaborative Filtering with Personal Agents for Better Recommendations - Good, Schafer, Konstan, Borchers, Sarwar, Herlocker, Riedl (ResearchIndex)},
	biburl = {http://www.bibsonomy.org/bibtex/2b92814aa0b942be645ec0955b360e4ce/krass},
	keywords = {collaborative_filtering recommender}
}

@inproceedings{1296957,
        title = {Recommenders everywhere:: the WikiLens community-maintained recommender system},
        address = {New York, NY, USA},
        author = {Dan Frankowski and Shyong K. Lam and Shilad Sen and F. Maxwell Harper and Scott Yilek and Michael Cassano and John Riedl},
        booktitle = {WikiSym '07: Proceedings of the 2007 international symposium on Wikis},
        pages = {47--60},
        publisher = {ACM Press},
        year = 2007,
        location = {Montreal, Quebec, Canada},
	isbn = {978-1-59593-861-9},
	doi = {http://doi.acm.org/10.1145/1296951.1296957},
	biburl = {http://www.bibsonomy.org/bibtex/2becfa8d3879adc54b1166f83c68a3430/krass},
	keywords = {recommender}
}

@inproceedings{ghita05semantically,
        title = {Semantically rich recommendations in social networks for sharing, exchanging and ranking semantic context},
        author = {S. Ghita and W. Nejdl and R. Paiu},
        booktitle = {Proc. of the 4th International Semantic Web Conference},
        year = 2005,
        url = {citeseer.ist.psu.edu/article/ghita05semantically.html},
        description = {Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context - Ghita, Nejdl, Paiu (ResearchIndex)},
	biburl = {http://www.bibsonomy.org/bibtex/260c031ac876cb9a98d48e71cd149b53e/krass},
	keywords = {recommender}
}

@article{citeulike:206218,
        title = {Recommender Systems Research: A Connection-Centric Survey},
        author = {Saverio Perugini and Marcos A. Gonã§alves and Edward A. Fox},
        journal = {Journal of Intelligent Information Systems},
        number = 2,
        pages = {107--143},
        volume = 23,
        year = 2004,
        url = {http://www.metapress.com/link.asp?id=R322040289831534},
        id = {206218},
	priority = {2},
	description = {CiteULike: Recommender Systems Research: A Connection-Centric Survey},
	biburl = {http://www.bibsonomy.org/bibtex/2679137d129c0dd5d60d69f15b99adf42/krass},
	keywords = {recommender survey}
}

@article{245122,
        title = {PHOAKS: a system for sharing recommendations},
        address = {New York, NY, USA},
        author = {Loren Terveen and Will Hill and Brian Amento and David McDonald and Josh Creter},
        journal = {Commun. ACM},
        number = 3,
        pages = {59--62},
        publisher = {ACM Press},
        volume = 40,
        year = 1997,
        url = {http://portal.acm.org/citation.cfm?id=245122},
        issn = {0001-0782},
	doi = {http://doi.acm.org/10.1145/245108.245122},
	description = {PHOAKS},
	biburl = {http://www.bibsonomy.org/bibtex/220c2a861b55360b2d0a2481b54b7e657/krass},
	keywords = {recommender}
}