% -------------------------------------------------------------
% Own Publications
% -------------------------------------------------------------
@inproceedings{techReport,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Evolving Communities of Recommenders: A Temporal Evaluation}},
	booktitle = {Research Note RN/08/01},
	year = {2008},
	address = {Department of Computer Science, University College London}
}
@inproceedings{recsys07,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Private Distributed Collaborative Filtering Using Estimated Concordance Measures}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2007},
	pages = {1--8},
	address = {Minneapolis, USA}
}
@inproceedings{treck,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{The Effect of Correlation Coefficients on Communities of Recommenders}},
	booktitle = {ACM Symposium on Applied Computing (TRECK track)},
	year = {2008},
	address = {Fortaleza, Brazil},
	month = {March},
	pages = {2000--2005}
}
@inproceedings{whatIsTrust,
	author = {N. Lathia},
	title = {{Learning to Trust on the Move}},
	booktitle = {Joint TIME and SPACE Workshops (IFIPTM)},
	year = {2008},
	address = {Trondheim, Norway},
}
@inproceedings{trust,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Trust-Based Collaborative Filtering}},
	booktitle = {Joint iTrust and PST Conferences on Privacy, Trust Management and Security (IFIPTM)},
	year = {2008},
	address = {Trondheim, Norway},
}
@inbook{chapter,
	author = {N. Lathia},
	chapter = {2},
	title = {Computing Recommendations With Collaborative Filtering, Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling},
	month = {September},
	year = {2008},
	publisher = {IGI-Global}
}
@inproceedings{recsys08,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{kNN CF: A Temporal Social Network}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2008},
	address = {Lausanne, Switzerland},
	pages = {227--234}
}
@inproceedings{multiSourceRecs,
	author = {N. Lathia and X. Amatriain and  J.M. Pujol},
	title = {{Collaborative Filtering With Adaptive Information Sources}},
	booktitle = {IJCAI Workshop on Intelligent Techniques for Web Personalisation and Recommender Systems},
	year = {2009},
	month = {July},
	address = {Pasadena, USA}
}
@inproceedings{wisdomOfTheFew,
	author = {X. Amatriain and N. Lathia and J.M. Pujol and H. Kwak and N. Oliver},
	title = {{The Wisdom of the Few: A Collaborative Filtering Approach Based on Expert Opinions from the Web}},
	booktitle = {ACM SIGIR},
	year = {2009},
	month = {July},
	pages = {532--539},
	address = {Boston, USA}
}
@inproceedings{sigir,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Temporal Collaborative Filtering With Adaptive Neighbourhoods}},
	booktitle = {ACM SIGIR},
	year = {2009},
	month = {July},
	address = {Boston, USA},
	pages = {796--797}
}
@inproceedings{sigirWorkshop,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Evaluating Collaborative Filtering Over Time}},
	booktitle = {ACM SIGIR Workshop on the Future of IR Evaluation},
	year = {2009},
	month = {July},
	address = {Boston, USA}
}
@inproceedings{sigir_diversity,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Temporal Diversity in Recommender Systems}},
	booktitle = {ACM SIGIR},
	year = {2010},
	month = {July},
	address = {Geneva, Switzerland},
	pages = {210--217}
}
@inproceedings{pkdd_attacks,
	author = {N. Lathia and S. Hailes and L. Capra},
	title = {{Temporal Defenses for Robust Recommendations}},
	booktitle = {ECML PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning},
	year = {2010},
	month = {September},
	address = {Barcelona, Spain}
}

% -------------------------------------------------------------
% History/Reviews of Recommender Systems
% -------------------------------------------------------------
@book{toffler,
	author = {A. Toffler},
	title = {{Future Shock}},
	publisher = {Random House},
	year = {1970}
}
@misc{shirky,
	author = {C. Shirky},
	title = {{It's Not Information Overload. It's Filter Failure}},
	howpublished = {{Web 2.0 Expo NY Presentation}},
	month = {November},
	year = {2009},
}
@inproceedings{procter,
   author = {R. Procter and A. McKinley},
   year = {1997},
   title = {{Social Affordances and Implicit Ratings for Social Filtering on the Web}},
   booktitle = {DELOS Workshop on Collaborative Filtering},
   address = {Budapest, Hungary},
}
@inproceedings{maltz,
   author = {D. Maltz and K. Ehrlick},
   year = {1995},
   title = {{Pointing the Way: Active Collaborative Filtering}},
   booktitle = {ACM CHI},
   address = {Denver, Colorado, United States},
   pages = {202--209}
}
@inproceedings{resnick,
   author = {P. Resnick and N. Iacovou and M. Suchak and P. Bergstrom and J. Riedl},
   year = {1994},
   title = {{GroupLens: An Open Architecture for Collaborative Filtering of Netnews}},
   booktitle = {CSCW: Conference on Computer Supported Coorperative Work},
   address = {Chapel Hill},
   pages = {175--186}
}
@article{infoOverload,
	author = {A. Borchers and J. Herlocker and J. Konstan and J. Riedl},
	title = {{Ganging up on Information Overload}},
	year = {1998},
	journal = {IEEE Computer},
	volume = {31},
	pages = {106--108},
}
@inproceedings{retrievalSurvey,
	author = {C. Faloutsos and D. Oard},
	title = {{A Survey of Information Retrieval and Filtering Methods}},
	booktitle = {Tech. Rep. No. CS-TR-3514},
	year = {1995},
	address = {Department of Computer Science, University of Maryland, Maryland, USA}
}
@article{tapestry,
	author = {D. Goldberg and D. Nichols and B.M. Oki and D. Terry},
	title = {{Using Collaborative Filtering to Weave an Information Tapestry}},
	year = {1992},
	journal = {Communications of the ACM},
	volume = {35},
	pages = {61--70},
	publisher = {ACM Press},
}
@inproceedings{herlocker_99,
	author = {J. Herlocker and J. Konstan and A. Borchers and J. Riedl},
	title = {{An Algorithmic Framework for Performing Collaborative Filtering}},
	booktitle = {ACM SIGIR},
	year = {1999},
	address = {Berkley, CA, USA},
	pages = {230--237}
}
@article{grouplens,
	author = {J. Konstan and B. Miller and D. Maltz and J. Herlocker and L. Gordon and J. Riedl},
	title = {{GroupLens: Applying Collaborative Filtering to Usenet News}},
	year = {1997},
	journal = {Communications of the ACM},
	volume = {40},
	pages = {77--87},
	publisher = {ACM Press},
}
@article{linden,
	author = {G. Linden and B. Smith and J. York},
	title = {{Amazon.com Recommendations: Item-to-Item Collaborative Filtering}},
	year = {2003},
	journal = {IEE Internet Computing},
	volume = {7},
	pages = {76--80},
}
@article{relevanceFeedback,
	author = {I. Ruthven and M. Lalmas},
	title = {{A Survey on the Use of Relevance Feedback for Information Access Systems}},
	year = {2003},
	journal = {The Knowledge Engineering Review},
	volume = {18},
	pages = {95--145},
}
@article{applications,
	author = {J. Schafer and J. Konstan and J. Riedl},
	title = {{E-Commerce Recommendation Applications}},
	year = {2001},
	journal = {The Knowledge Engineering Review},
	volume = {5},
	issue = {1},
	pages = {115--153},
}
@inproceedings{applications2,
	author = {J.B. Schafer and J. Konstan and J. Riedl},
	title = {{Recommender Systems in E-Commerce}},
	booktitle = {ACM Electronic Commerce},
	year = {1999},
	pages = {158--166},
	address = {Denver, Colorado, USA}
}
@inproceedings{horting,
	author = {C. Aggarwal and J.L. Wolf and K. Wu and P.S. Yu},
	title	= {{Horting Hatches and Egg: A New Graph Theoretic Approach to Collaborative Filtering}},
	booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	address = {San Diego, California, USA},
	year = {1999},
	pages = {201--212}
}
@inproceedings{mull,
	author = {M. Mull},
	title = {{Characteristics of High-Volume Recommender Systems}},
	booktitle = {{Recommenders Workshop}},
	address = {Bilbao, Spain},
	month = {September},
	year = {2006}
}
@article{hybridSurvey,
	author = {R. Burke},
	title = {{Hybrid Recommender Systems: Survey and Experiments}},
	year = {2002},
	journal = {User Modeling and User-Adapted Interaction},
	volume = {12},
	issue = {4},
	pages = {331--370},
}
@article{adomavicius,
	author	= {G. Adomavicius and A. Tuzhilin},
	title	= {{Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions}},
	journal	= {IEEE TKDE},
	volume	= {17},
	number	= {6},
	month = {June},
	year = {2005},
	pages = {734--749}
}
@article{Miller,
	author = {B. Miller and J.A. Konstan and J. Riedl},
	title = {{PocketLens: Toward a Personal Recommender System}},
	journal = {ACM Transactions on Information Systems},
	volume = {22},
	number = {3},
	month = {July},
	pages = {437--476},
	year = {2005},
}

% -------------------------------------------------------------
% Netflix Prize
% -------------------------------------------------------------
@inproceedings{bellkorSolution,
	author = {Y. Koren},
	title = {{The BellKor Solution to the Netflix Grand Prize}},
	booktitle = {Netflix Prize Report},
	year = {2009},
	month = {August},
 }
@inproceedings{bigChaosSolution,
	author = {A. Toscher and M. Jahrer and R.M. Bell},
	title = {{The Big Chaos Solution to the Netflix Grand Prize}},
	booktitle = {Netflix Prize Report},
	year = {2009},
	month = {August}
 }
@inproceedings{pragmaticTheorySolution,
	author = {M. Piotte and M. Chabbert},
	title = {{The Pragmatic Theory Solution to the Netflix Grand Prize}},
	booktitle = {Netflix Prize Report},
	year = {2009},
	month = {August}
 }
@inproceedings{temporalDynamics,
	author = {Y. Koren},
	title = {{Collaborative Filtering with Temporal Dynamics}},
	booktitle = {ACM KDD},
	year = {2009},
	address = {Paris, France},
	pages = {89--97}
 }
@article{interview,
	author = {G. Piatetsky},
	title = {{Interview With Simon Funk}},
	journal = {ACM SIGKDD Explorations Newsletter},
	year = {2007},
	pages = {38--40},
	volume = {9},
	issue = {1},
	publisher = {ACM Press},
	address = {New York, USA}
}
@inproceedings{topN,
	author = {Y. Koren},
	title = {{Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model}},
	booktitle = {ACM KDD},
	year = {2008},
	location = {Las Vegas, USA},
	pages = {426--434}
}
@inproceedings{blending,
	author = {Y. Zhou and D. Wilkinson and R. Schreiber and R. Pan},
	title = {{Large-Scale Parallel Collaborative Filtering for the Netflix Prize}},
	booktitle = {{Proceedings of the 4th International Conference on Algorithmic Aspects in Information and Management}},
	year = {2008},
}
@inproceedings{potter,
	author = {G. Potter},
	title = {{Putting the Collaborator Back Into Collaborative Filtering}},
	booktitle = {{Proceedings of the $2^{nd}$ Netflix-KDD Workshop}},
	year = {2008},
	month = {August},
	address = {Last Vegas, USA}
}
@inproceedings{scalable,
	author = {R. Bell and Y. Koren},
	title = {Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights},
	booktitle = {IEEE International Conference on Data Mining (ICDM)},
	publisher = {IEEE},
	year = {2007},
	pages = {43--52}
}

% -------------------------------------------------------------
% Collaborative Filtering
% -------------------------------------------------------------
@inproceedings{nonparametric,
	author = {K. Yu and S. Zhu and J. Lafferty and Y. Gong},
	title = {{Fast Nonparametric Matrix Factorisation for Large-Scale Collaborative Filtering}},
	booktitle = {Proceedings of the 32nd ACM SIGIR Conference},
	year = {2009},
	pages = {211--218},
	address = {Boston, MA, USA},
	publisher = {ACM Press},
 }
@inproceedings{combining,
	author = {J. Wang and A.P. de Vries and M.J.T. Reinders},
	title = {{Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion}},
	booktitle = {Proceedings of the 29th ACM SIGIR Conference},
	year = {2006},
	pages = {501--508},
	publisher = {ACM Press},
 }
@inproceedings{confidence,
	author = {S.M. McNee and S.K. Lam and C. Guetzlaff and J.A. Konstan and J. Riedl},
	booktitle = {INTERACT IFIP TC13 International Conference on Human-Computer Interaction},
	title = {{Confidence Displays and Training in Recommender System}},
	year = {2003},
	month = {September},
	pages = {176--183}
}
@inproceedings{recsys07ricci,
	author = {S. Berkovsky and Y. Eytani and T. Kuflik and F. Ricci},
	title = {{Enhancing Privacy and Preserving Accuracy of Distributed Collaborative Filtering}},
	booktitle = {Proceedings of Recommender Systems (RecSys '07)},
	year = {2007},
	address = {Minneapolis, USA},
	pages = {9--16}
}
@inproceedings{privacy,
	author = {J. Canny},
	title = {{Collaborative Filtering With Privacy Via Factor Analysis}},
	booktitle = {{ACM SIGIR}},
	year = {2002},
	address = {Tampere, Finland},
	pages = {238--245}
}
@inproceedings{svd,
	author = {M. Kurucz and A. A. Benczur and K. Csalogany},
	title = {{Methdods for Large Scale SVD With Missing Values}},
	booktitle = {{Proceedings KDD Cup and Workshop}},
	year = {2007},
	address = {San Jose, California},
	month = {August}
}
@inproceedings{dimRed,
	author = {B.M. Sarwar and G. Karypis and J.A. Konstan and J. Riedl},
	title = {{Application of Dimensionality Reduction in Recommender Systems: A Case Study}},
	booktitle = {{ACM WebKDD Workshop}},
	year = {2000},
}
@inproceedings{popularityBias,
	author = {O. Celma and P. Cano},
	title = {{From Hits to Niches? Or How Popular Artists Can Bias Music Recommendation and Discovery}},
	booktitle = {{Proceedings of the $2^{nd}$ Netflix-KDD Workshop}},
	year = {2008},
	month = {August},
	address = {Last Vegas, USA}
}
@inproceedings{diversity,
	author = {B. Smyth and P. McClave},
	title = {{Similarity vs. Diversity}},
	booktitle = {Proceedings of the 4th International Conference on Case-Based Reasoning},
	year = {2001},
	address = {Vancouver, Canada},
	pages = {347--361}
}
@inproceedings{diversity2,
	author = {M. Zhang and N. Hurley},
	title = {{Avoiding Monotony: Improving the Diversity of Recommendation Lists}},
	booktitle = {Proceedings of ACM RecSys},
	year = {2008},
	address = {Lausanne, Switzerland}
}
@inproceedings{xavierHandbook,
	author = {X. Amatriain and A. Jaimes and N. Oliver and J.M. Pujol},
	editor = {Kantor and Ricci and Rokach and Shapira},
	publisher = {Springer},
	title = {{Data Mining Methods for Recommender Systems}},
	booktitle = {Recommender Systems Handbook},
	month = {August},
	year = {2009},
}
@article{context,
	author = {G. Adomavicius and R. Sankaranarayanan and S. Sen and A. Tuzhilin},
	title = {{Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach}},
	journal = {ACM Transactions on Information Systems},
	volume = {23},
	number = {1},
	year = {2005},
	month = {January},
	publisher = {ACM Press},
	pages = {103--145}
}
@inproceedings{neighbourFriends,
	author = {R. Rafter and M. O'Mahony and N.J. Hurley and B. Smyth},
	title = {{What Have the Neighbours Ever Done For Us? A Collaborative Filtering Perspective}},
	year = {2009},
	month = {June},
	booktitle = {User Modeling, Adaptation, Personalization (UMAP)},
	address = {Trento, Italy}
}
@inproceedings{ricci,
	author = {E. Blanzieri and F. Ricci},
	title  = {{A Minimum Risk Metric for Nearest Neighbour Classification}},
	booktitle = {Sixteenth International Conference on Machine Learning},
	month	= {June},
	year = {1999},
	pages = {22--31},
	address = {Bled, Slovenia}
}
@inproceedings{explicitNoise,
	author = {X. Amatriain and J.M. Pujol and N. Oliver},
	title = {{I Like It...I Like it Not: Evaluating User Ratings Noise in Recommender Systems}},
	booktitle = {User Modeling, Adaptation, Personalization (UMAP)},
	year = {2009},
	address = {Trento, Italy},
	pages = {247--258}
}
@inproceedings{xavier,
	author = {X. Amatriain and J.M. Pujol and N. Tintarev and N. Oliver},
	title = {{Rate it Again: Increasing Recommendation Accuracy by User Re-Rating}},
	booktitle = {ACM RecSys},
	address = {New York, USA},
	year = {2009},
	pages = {173--180}
}
@inproceedings{implicitNoise,
	author = {Y. Hu and Y. Koren and C. Volinsky},
	title = {{Collaborative Filtering For Implicit Feedback Datasets}},
	booktitle = {ICDM},
	year = {2008},
	publisher = {IEEE},
	address = {Pisa, Italy},
	pages = {263--272}
}
@inproceedings{cf_algo_comparison,
	author = {J.S. Breese and D. Heckerman and C. Kadie},
	title = {{Empirical Analysis of Predictive Algorithms for Collaborative Filtering}},
	booktitle = {Tech Rep. No. MSR-TR-98-12},
	year = {1998},
	address = {Microsoft Research, Redmond, WA, USA}
}
@inproceedings{eigentaste,
	author = {K. Goldberg and T. Roeder and D. Gupta and C. Perkins},
	title = {{Eigentaste: A Constant Time Collaborative Filtering Algorithm}},
	booktitle = {Tech Rep. No. UCB/ERL M00/41},
	year = {2000},
	address = {EECS Department, University of California, Berkeley, California, USA}
}
@inproceedings{kNN_vs_SVM,
	author = {M. Grcar and B. Fortuna and D. Mladenic},
	title = {{KNN versus SVM in the Collaborative Filtering Framework}},
	booktitle = {Workshop on Knowledge Discovery on the Web},
	year = {2005},
	month = {August},
	address = {Chicago, USA}
}
@inproceedings{hybrid_clustering,
	author = {Q. Li and B.M. Kim},
	title = {{Clustering Approach for Hybrid Recommender System}},
	booktitle = {IEEE/WIC International Conference on Web Intelligence},
	year = {2003},
	address = {Beijing, China},
	publisher = {IEE Press},
	pages = {33}
}
@inproceedings{missingData,
	author = {H. Ma and I. King and M.R. Lyu},
	title = {{Effective Missing Data Prediction for Collaborative Filtering}},
	booktitle = {Proceedings of ACM SIGIR},
	year = {2007},
	address = {Amsterdam, Holland},
	pages = {39--46}
}
@inproceedings{userExperience,
	author = {M.R. McLaughlin and J. Herlocker},
	title = {{A Collaborative Filtering Algorithm and Evaluation Metric that Accurately Model the User Experience}},
	booktitle = {Proceedings of ACM SIGIR},
	year = {2004},
	address = {Sheffield, United Kingdom},
	pages = {329--336}
}
@inproceedings{coldStart,
	author = {A. Nguyen and N. Denos and C. Berrut},
	title = {{Improving New User Recommendations With Rule-Based Induction on Cold User Data}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2007},
	address = {Minneapolis, USA}
}
@inproceedings{filterBots,
	author = {S. Park and D. Pennock and O. Madani and N. Good and D. DeCoste},
	title = {{Naive Filterbots for Robust Cold-start Recommendations}},
	booktitle = {ACM KDD},
	year = {2006},
	address = {Philadelphia, USA}
}
@inproceedings{improvingSVD,
	author = {A. Paterek},
	title = {{Improving Regularized Singular Value Decomposition For Collaborative Filtering}},
	booktitle = {ACM KDD},
	year = {2006},
	address = {Philadelphia, USA}
}
@inproceedings{newUserPreferences,
	author = {A.M. Rashid and I. Albert and D. Cosley and S.K. Lam and S.M. McNee and J. Konstan and J. Rieldl},
	title = {{Getting to Know You: Learning New User Preferences in Recommender Systems}},
	booktitle = {International Conference on Intelligent User Interfaces (IUI)},
	year = {2002},
	address = {Miami, Florida},
	pages = {127--134}
}
@inproceedings{clustKNN,
	author = {A.M. Rashid and S.K. Lam and G. Karypis and J. Riedl},
	title = {{ClustKNN: A Highly Scalable Hybrid Model- Memory-Based CF Algorithm}},
	booktitle = {ACM KDD},
	year = {2006},
	month = {August},
	address = {Philadelphia, Pennsylvania, USA}
}
@inproceedings{itemBased,
	author = {B. Sarwar and G. Karypis and J. Konstan and J. Riedl},
	title = {{Item-based Collaborative Filtering Recommendation Algorithms}},
	booktitle = {Proceedings of the 10th International World Wide Web Conference},
	year = {2001},
	address = {Hong Kong, China}
}
@inproceedings{filterAgents,
	author = {B. Sarwar and J. Konstan and A. Borchers and J. Herlocker and B. Miller and J. Riedl},
	title = {{Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System}},
	booktitle = {Proceedings of the Conference on Computer Supported Cooperative Work},
	year = {1998},
	address = {New Orleans, USA}
}
@article{probabilisticCF,
	author = {K. Yu and A. Schwaighofer and V. Tresp and X. Xu and H. Kriegel},
	title = {{Probabilistic Memory-Based Collaborative Filtering}},
	journal = {IEEE Transactions on Knowledge and Data Engineering},
	volume = {16},
	pages = {56--69},
	year = {2004},
}
@inproceedings{featureWeighting,
	author = {K. Yu and Z. Wen and X. Xu and M. Ester},
	title = {{Feature Weighting and Instance Selection for Collaborative Filtering}},
	booktitle = {Proceedings of the 12th International Workshop on Database and Expert Systems Applications},
	year = {2001},
	address = {Munich, Germany},
}
@inproceedings{burke_dynamics,
	author = {R. Burke},
	title = {{Evaluating the Dynamic Properties of Recommendation Algorithms}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2010},
	address = {Barcelona, Spain},
}

% -------------------------------------------------------------
% Online Collaborative Filtering
% -------------------------------------------------------------
  
@inproceedings{lemire,
	author = {D. Lemire and A. Maclachlan},
	title = {{Slope One Predictors for Online Rating-Based Collaborative Filtering}},
	booktitle = {SIAM Data Mining Conference},
	year = {2005},
	month = {April},
	address = {Newport Beach, California},
}
@inproceedings{onlineKernel,
	author = {S. Rendle and L. Schmidt-Thieme},
	title = {{Online-Updating Regularized Kernel Matrix Factorization Models for Large-Scale Recommender Systems}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2008},
	address = {Lausanne, Switzerland}
}
@inproceedings{eyeTracking,
	author = {S. Rendle and L. Schmidt-Thieme},
	title = {{Personalized Online Document, Image and Video Recommendation via Commodity Eye-tracking}},
	booktitle = {Proceedings of Recommender Systems (RecSys '08)},
	year = {2008},
	address = {Lausanne, Switzerland}
}
@inproceedings{onlineCF,
	author = {S. Rendle and L. Schmidt-Thieme},
	title = {{Online Collaborative Filtering with Nearly Optimal Dynamic Regret}},
	booktitle = {Proceedings of SPAA},
	year = {2007},
	address = {San Diego, California}
}
@inproceedings{googleNews,
	author = {A. Das and M. Datar and A. Garg and S. Rajaram},
	title = {{Google News Personalization: Scalable Online Collaborative Filtering}},
	booktitle = {Proceedings of WWW Industrial Practice and Experience Track},
	year = {2007},
	month = {May},
	address = {Banff, Alberta, Canada},
	pages = {271--280}
}

% -------------------------------------------------------------
% Trust in Recommender Systems
% -------------------------------------------------------------
@inproceedings{matrixtrust1,
	author = {H. Ma and H. Yang and M.R. Lyu and I. King},
	booktitle = {ACM CIKM},
	title = {{SoRec: Social Recommendation Using Probabilistic Matrix Factorization}},
	year = {2008},
	month = {October},
	address = {Napa Valley, California, USA},
	pages = {931--940}
}
@inproceedings{matrixtrust2,
	author = {H. Ma and I. King and M.R. Lyu},
	booktitle = {ACM SIGIR},
	title = {{Learning to Recommend With Social Trust Ensemble}},
	year = {2009},
	month = {July},
	address = {Boston, MA, USA},
	pages = {203--210}
}
@inproceedings{trustAware,
	author = {P. Massa and P. Avesani},
	title = {{Trust-aware Recommender Systems}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2007},
	address = {Minneapolis, USA},
	pages = {17--24}
}
@inproceedings{massa,
	author = {P. Massa and B. Bhattacharjee},
	title = {{Using Trust in Recommender Systems: An Experimental Analysis}},
	booktitle = {iTrust International Conference},
	year = {2004},
	pages = {221--235}
}
@inproceedings{trustDerivation_RS,
	author = {G. Pitsilis and L. Marshall},
	booktitle = {Technical Report Series, CS-TR-874},
	publisher = {University of Newcastle Upon Tyne},
	title = {{A Model of Trust Derivation from Evidence for Use in Recommendation Systems}},
	year = {2004}
}
@inproceedings{recsys_explaining,
	author = {N. Tintarev and J. Masthoff},
	title = {Effective Explanations of Recommendations: User-Centered Design},
	booktitle = {ACM Recommender Systems (RecSys '08)},
	year = {2007},
	address = {Minneapolis, USA}
}
@inproceedings{interfaces,
	booktitle = {International Conference on Intelligent User Interfaces},
	title = {{Trust Building with Explanation Interfaces}},
	author = {P. Pu and L. Chen},
 	publisher = {ACM},
 	year      = {2006},
	pages = {93--100},
	address = {Sydney, Australia}
}
@inproceedings{explaining,
	author = {J. Herlocker and J.A. Konstan and J. Riedl},
	booktitle = {In proceedings of ACM 2000 Conference on Computer Supported Cooperative Work},
	title = {Explaining Collaborative Filtering Recommendations},
	year = {2000}
}
@inproceedings{bonhard,
	author = {P. Bonhard},
	title = {{Improving Recommender Systems with Social Networking}},
	booktitle = {Addendum of CSCW},
	year = {2004},
	month = {November},
	address = {Chicago, USA}
}
@inproceedings{bedi,
	author = {P. Bedi and H. Kaur and S. Marwaha},
	title = {Trust Based Recommender System for Semantic Web},
	booktitle = {International Joint Conference on Artificial Intelligence},
	year = {2007},
	address = {Hyperabad, India}
}
@inproceedings{sasse,
	author = {P. Bonhard, M.A Sasse and C. Harries},
	title = {{The Devil You Know Knows Best: The Case for Integrating Recommender and Social Networking Functionality}},
	booktitle = {Proceedings of the 21st British HCI Group Annual Conference},
	year = {2007},
	month = {September},
	address = {Lancaster, UK},
}
@inproceedings{trust_poster,
	author = {Y. Matsuo and H. Yamamoto},
	title = {{Diffusion of Recommendation through a Trust Network}},
	booktitle = {Proceedings of ICWSM},
	address = {Boulder, Colorado, USA},
	year = {2007}
}
@inproceedings{golbeck,
     title = {{Generating Predictive Movie Recommendations from Trust in Social Networks}},
     author = {J. Golbeck},
     year = {2006},
     booktitle = {Fourth International Conference on Trust Management},
     address = {Pisa, Italy},
     month = {May},
     pages = {93--104}
}
@inbook{pitsilis3,
	author = {G. Pitsilis and L. Marshall},
	title = {{Trust as a Key to Improving Recommendation Systems, Trust Management}},
	publisher = {Springer Berlin / Heidelberg},
	year = {2005},
	pages = {210-223},
}
@article{networkRS,
	author = {F. E. Walter and S. Battiston and F. Schweitzer},
	journal = {Autonomous Agents and Multi-Agent Systems},
	title = {{A Model of a Trust-Based Recommendation System On a Social Network}},
	year = {2007},
	pages = {57--74},
	volume = {16},
	number = {1},
	month = {February}
}
@inproceedings{trust_RS,
	author = {J. O'Donovan and B. Smyth},
	booktitle = {10th International Conference on Intelligent User Interfaces},
	pages = {167--174},
	publisher = {ACM Press},
	title = {{Trust in Recommender Systems}},
	year = {2005}
}
@article{elicitingTrust,
	author = {J. O'Donovan and B. Smyth},
	journal = {International Journal of Artificial Intelligence Tools},
	title = {{Eliciting Trust Values from Recommendation Errors}},
	year = {2006},
	volume = {15},
	number = {6},
	pages = {945--962}
}

@inproceedings{weng,
	author = {J. Weng and C. Miao and A. Goh},
	title = {{Improving Collaborative Filtering With Trust-Based Metrics}},
	booktitle = {ACM Symposium on Applied Computing},
	address = {Dijon, France},
	pages = {1860-1864},
	year = {2006}
}
@inproceedings{hwang,
	author = {C-S. Hwang and Y-P. Chen},
	title = {{Using Trust in Collaborative Filtering Recommendation}},
	booktitle = {New Trends in Applied Artificial Intelligence},
	year = {2007},
	pages = {1052--1060},
}
@inproceedings{papagelis,
	author = {M. Papagelis and D. Plexousakis and T. Kutsuras},
	title = {{Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences}},
	booktitle = {Proceedings of the 3rd International Conference on Trust Management (iTrust)},
	year = {2005},
	address = {Paris, France}
}
@inproceedings{timeWeight,
	author	= {Y. Ding and X. Li},
	title	= {{Time Weight Collaborative Filtering}},
	booktitle = {ACM CIKM},
	month	= {November},
	year	= {2005},
	address	= {Bremen, Germany},
	pages = {485--492}
}
@inproceedings{lenzini,
	author = {G. Lenzini and N. Sahli and H. Eertink},
	booktitle = {International Conference on Security and Cryptography (SECRYPT)},
	title = {{Trust Model for High Quality Recommendation}},
	year = {2008},
	month = {July}
}
@inproceedings{rahman_recs,
	author = {A. Abdul-Rahman and S. Hailes},
	title = {Using Recommendations for Managing Trust in Distributed Systems},
	booktitle = {Proceedings of IEEE Malaysia International Conference on Communication},	
	location = {Kuala Lumpur, Malaysia},
	year = {1997},
	month = {November}
}
% -------------------------------------------------------------
% Trust
% -------------------------------------------------------------
@inproceedings{quercia07lightweight,
	author = {Daniele Quercia and Stephen Hailes and Licia Capra},
	title = {{Lightweight Distributed Trust Propagation}}, 
	booktitle = {IEEE International Conference on Data Mining},
	year = {2007},
	month= {October},
	address = {Omaha, USA},
}
@inproceedings{distributedFarez,
	author = {A. Abdul-Rahman and S. Hailes},
	title = {{A Distributed Trust Model}},
	booktitle = {New Security Paradigms Workshop},
	pages = {48--60},
	year = {1998},
	address = {Langdale, United Kingdom}
}
@article{survey,
	author = {A. Josang and R. Ismail and C. Boyd},
	title = {{A Survey of Trust and Reputation Systems for Online Service Provision}},
	journal = {Decision Support Systems},
	volume = {43},
	number = {2},
	pages = {618--644},
	year = {2007},
	publisher = {ACM Press},
}
@article{mo,
	author = {M. Ahmed and S. Hailes},
	title = {{A Game Theoretic Analysis of the Utility of Reputation Management}}, 
	journal = {Technical Report RN/08/05, Department of Computer Science, University College London},
	year = {2008},
	month = {January}
}
@article{gambetta,
	author = {D. Gambetta},
	title = {{Can We Trust Trust?}},
	journal = {Trust: Making and Breaking Cooperative Relations},
	pages = {213--238},
	year = {1990},
	publisher = {Basil Blackwell. Oxford}
}
@article{marsh,
	author = {S. Marsh},
	title = {Formalising Trust as a Computational Concept},
	journal = {PhD Thesis, Department of Mathematics and Computer Science University of Stirling UK},
	year = {1994}
}
@book{socialTrust,
	editor = {J. Golbeck},
	title = {{Computing With Social Trust}},
	publisher = {Springer},
	year = {2008}
}
@inproceedings{sassone,
	author = {M. Carbone and M. Nielsen and V. Sassone},
	title = {A Formal Model For Trust in Dynamic Networks},
	booktitle = {Int. Conference on Software Engineering and Formal Methods (SEFM)},
	pages = {54--63},
	address = {Brisbane, Australia},
	month = {September},
	year = {2003},
}
@inproceedings{querciaB-trust06,
	author = {D. Quercia and S. Hailes and L. Capra},
	title = {{B-trust: Bayesian Trust Framework for Pervasive Computing}}, 
	booktitle = {$4^{th}$ International Conference on Trust Management. LNCS},
	year = {2006},
	month={May},
	pages = {298-312},
	address = {Pisa, Italy},
}

% -------------------------------------------------------------
% Collaborative Filtering Attacks
% -------------------------------------------------------------

@inproceedings{preventShilling,
	author = {P-A. Chirita and W. Nejdl and C. Zamfir},
	title = {{Preventing Shilling Attacks in Online Recommender Systems}},
	booktitle = {7th Annual ACM International Workshop on Web Information and Data Management},
	year = {2005},
	address = {Bremen, Germany}
}
@inproceedings{shilling,
	author = {S.K. Lam and J. Riedl},
	title = {{Shilling Recommender Systems for Fun and Profit}},
	booktitle = {13th International World Wide Web Conference},
	year = {2004},
	address = {New York, NY, USA},
	pages = {393--402}
}
@article{attackAnalysis,
	author = {B. Mobasher and R. Burke and C. Williams},
	title = {{Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness}},
	year = {2007},
	journal = {Transactions on Internet Technology (TOIT)},
	volume = {7},
	number = {4},
}
@inproceedings{influenceLimiter,
	author = {P. Resnick and R. Sami},
	title = {{The Influence Limiter: Provably Manipulation Resistant Recommender Systems}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2007},
	address = {Minneapolis, USA},
	publisher = {ACM Press},
}
@article{classification,
	author = {C. Williams and B. Mobasher and R. Burke},
	title = {{Defending Recommender Systems: Detection of Profile Injection Attacks}},
	journal = {Journal of Service Oriented Computing and Applications},
	month = {August},
	year = {2009},
	volume = {1},
	number = {3},
	pages = {157--170}
}
@inproceedings{CF_anomaly,
	author = {R. Bhaumik and C. Williams and B. Mobasher and R. Burke},
	title = {{Securing Collaborative Filtering Against Malicious Attacks Through Anomaly Detection}},
	booktitle = {AAAI Workshop on Intelligent Techniques for Web Personalization},
	month = {July},
	year = {2006},
	address = {Boston}
}
@inproceedings{sofia,
	author = {M. Dell'Amico and L. Capra},
	title = {{SOFIA: Social Filtering for Robust Recommendations}},
	booktitle = {Joint iTrust and PST Conferences on Privacy, Trust Management and Security (IFIPTM)},
	year = {2008},
	address = {Trondheim, Norway},
}
@inproceedings{dsybil,
	author = {H. Yu and C. Shi and M. Kaminsky and P. Gibbons and F. Xiao},
	title = {{DSybil: Optimal Sybil-Resistance for Recommendation Systems}},
	booktitle = {IEEE Symposium on Security and Privacy},
	address = {Oakland, CA, USA},
	year = {2009},
	pages = {283--298}
}

% -------------------------------------------------------------
% Security
% -------------------------------------------------------------
@inproceedings{sac,
	author = {Y. Yang and Y. Sun and S. Kay and Q. Yang},
	title = {{Defending Online Reputation Systems against Collaborative Unfair Raters through Signal Modeling and Trust}},
	booktitle = {ACM SAC TRECK},
	year = {2009},
	address = {Waikiki Beach, Honolulu, Hawaii, USA},
	pages = {1308--1315}
}
@inproceedings{financial,
	author = {S. X. Wu and W. Banzhaf},
	title = {{Combatting Financial Fraud: A Coevolutionary Anomaly Detection Approach}},
	booktitle = {10th Annual Conference on Genetic and Evolutionary Computation},
	address = {Atlanta, GA, USA},
	pages = {1673--1680},
	year = {2008},
}
@article{SYN_flood,
	author = {V. A. Siris and F. Papagalou},
	title = {{Application of Anomaly Detection Algorithms for Detecting SYN Flooding Attacks}},
	journal = {Computer Communications},
	volume = {29},
	issue = {9},
	month = {May},
	year = {2006},
	pages = {1433--1442}
}

% -------------------------------------------------------------
% Collaborative Filtering Evaluation
% -------------------------------------------------------------

@article{evalCF,
	author = {J. Herlocker and J. Konstan and L. Terveen and J. Riedl},
	title = {{Evaluating Collaborative Filtering Recommender Systems}},
	year = {2004},
	journal = {ACM Transactions on Information Systems},
	volume = {22},
	pages = {5--53},
}
@inproceedings{noAccuracy,
	author = {S.M. McNee and J. Riedl and J.A. Konstan},
	title = {{Being Accurate is Not Enough: How Accuracy Metrics Have Hurt Recommender Systems}},
	booktitle = {Extended Abstracts of ACM CHI},
	year = {2006},
	address = {Montreal, Canada},
	month = {April},
	pages = {1097--1101}
}
@inproceedings(influence,
	title = {{Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach}},
	author = {A. M. Rashid and G. Karypis and J. Riedl},
	booktitle = {SIAM Data Mining Conference},
	year = {2005},
}

% -------------------------------------------------------------
% Recommender Systems
% -------------------------------------------------------------
@inproceedings{movielens_incentives,
	author = {F. M. Harper and J. A. Konstan, X. Li, Y. Chen},
	booktitle = {Incentive Mechanisms in Online Systems, Group 2005 Workshop},
	title = {{User Motivations and Incentive Structures in an Online Recommender System}},
	year = {2005}
}
@article{tech_paper,
	author = {C. Basu and H. Hirsh and W. Cohen},
	title = {{Technical Paper Recommendation: A Study in Combining Multiple Information Sources}},
	journal = {Journal of Artificial Intelligence Research},
	year = {2001},
	pages = {213--252},
	volume = {14},
}
@inproceedings{musicTutorial,
	author = {O. Celma and P. Lamere},
	title = {{Music Recommendation Tutorial}},
	booktitle = {Presented at the 8th International Conference on Music Information Retrieval},
	year = {2007},
	month = {September},
	address = {Vienna, Austria}
}
@article{pazzani,
	author = {M.J. Pazzani and D. Billsus},
	title = {{Content-Based Recommendation Systems}},
	journal = {The Adaptive Web},
	year = {2007},
	volume = {4321},
	pages = {325--341}
}
@inproceedings{yoda,
	author = {C. Shahabi and F. Banaei-Kashani and Y.S Chen and D. McLeod},
	title = {{Yoda: An Accurate and Scalable Web-based Recommendation System}},
	booktitle = {6th International Conference on Cooperative Information Systems},
	year = {2001},
	address = {Trento, Italy},
	publisher = {Springer},
    pages = {418--432}
}
@book{ziegler,
	author = {C. Ziegler},	
	year = {2005},
	title = {{Towards Decentralised Recommender Systems (PhD Thesis)}},
	publisher = {Department of Computer Science, Freiburg University, Freiburg, Germany},
}
@inproceedings{stakenet,
	author = {S.L. Lim and D. Quercia and A. Finkelstein},
	title = {{StakeNet: Using Social Networks to Analyse the Stakeholders of Large-Scale Software Projects}},
	booktitle = {International Conference on Software Engineering},
	year = {2010},
	month = {May},
	pages = {295--304},
	address = {Cape Town, South Africa}
}
% -------------------------------------------------------------
% Other Recommendation Methods
% -------------------------------------------------------------

@inproceedings{baccigalupo,
	author = {C. Baccigalupo and E. Plaza},
	title = {{A Case-Based Song Scheduler For Group Customized Radio}},
	booktitle = {In Proceedings of the International Conference on Case Based Reasoning (ICCBR)},
	month = {August},
	year = {2007},
	address = {Belfast, Ireland},
	publisher = {Springer},
}
@inproceedings{immuneNetwork,
	author = {S. Cayzer and U. Aickelin},
	title = {{A Recommender System based on the Immune Network}},
	booktitle = {Proceedings of the Fourth Congress on Evolutionary Computation (CEC-2002)},
	year = {2002},
	address = {Honolulu, USA},
	publisher = {IEEE},
}
@inproceedings{conversational,
	author = {P. Viappiani and P. Pu and B. Faltings},
	title = {{Conversational Recommenders with Adaptive Suggestions}},
	booktitle = {Proceedings of Recommender Systems (RecSys)},
	year = {2007},
	address = {Minneapolis, USA},
	publisher = {ACM Press}
}
@inproceedings{heystacks,
	author = {B. Smyth and P. Briggs and M. Coyle and M. O'Mahoney},
	title = {{Google Shared. A Case Study in Social Search}},
	booktitle = {Proceedings of User Modeling and Personalization(UMAP)},
	year = {2009},
	address = {Trento, Italy},
	pages = {283--294}
}
@inproceedings{socialRanking,
	author = {V. Zanardi and L. Capra},
	title = {{Social Ranking: Filtering Relevant Content in Web 2.0}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2008},
	month = {October},
	address = {Lausanne, Switzerland},
	pages = {51--58}
}
@inproceedings{friendSensing,
	author = {D. Quercia and L. Capra},
	title = {{FriendSensing: Recommending Friends Using Mobile Phones}},
	booktitle = {ACM Recommender Systems (RecSys)},
	year = {2009},
	month = {October},
	address = {New York, USA},
	pages = {273--276}
}
% -------------------------------------------------------------
% Retrieval
% -------------------------------------------------------------
@inproceedings{timeCluster,
	author	= {O. Alonso and M. Gertz},
	title		= {{Clustering of Search Results Using Temporal Attributes}},
	booktitle	= {ACM SIGIR},
	month		= {August},
	year		= {2006},
	address	= {Seattle, USA},
	pages = {597--598}
}
@inproceedings{searchDiversity,
	author = {F. Radlinski and S. Dumais},
	title = {{Improving Personalized Web Search Using Result Diversification}},
	booktitle = {{ACM SIGIR}},
	address = {Seattle, USA},
	year = {2006},
	pages = {691--692}
}
@inproceedings{searchDiversity2,
	author = {R. Agrawal and S. Gollapudi and A. Halverson and S. Ieong},
	title = {{Diversifying Search Results}},
	booktitle = {{ACM WSDM}},
	address = {Barcelona, Spain},
	year = {2009},
	pages = {5--14}
}
@inproceedings{searchEvaluation,
	author = {D. Hawking and T. Rowlands and P. Thomas},
	title = {{C-TEST: Supporting Novelty and Diversity in Testfiles for Search Evaluation}},
	booktitle = {{ACM SIGIR Workshop on Redundancy, Diversity and Interdependent Document Relevance}},
	address = {Boston, USA},
	year = {2009}
}

% -------------------------------------------------------------
% Statistics
% -------------------------------------------------------------

@article{agresti_chance,
	author = {A. Agresti and L. Winner},
	title = {{Evaluating Agreement and Disagreement Among Movie Reviewers}},
	journal = {Chance},
	year = {1997},
	pages = {10--14},
	volume = {10},
}
% -------------------------------------------------------------
% Machine Learning
% -------------------------------------------------------------
@inproceedings{NN_hubs,
	author = {M. Radovanovic and A. Nanopoulos and M. Ivanovic},
	title = {{Nearest Neighbours in High-Dimensional Data: The Emergence and Influence of Hubs}},
	booktitle = {26th Annual International Conference on Machine Learning},
	year = {2009},
	address = {Quebec, Canada},
}
@article{metaLearning,
	author	= {R. Vilalta and Y. Drissi},
	title = {{A Perspective View and Survey of Meta-Learning}},
	journal	= {Artificial Intelligence Review},
	volume	= {18},
	number	= {2},
	month	= {October},
	year	= {2002}
}
@inproceedings{ensembleMethods,
	author = {T. Dietterich},
	title = {{Ensemble Methods in Machine Learning}},
	booktitle = {1$^{st}$ International Workshop on Multiple Classifier Systems},
	year = {2000},
	address = {Cagliari, Italy},
}
@article{ensembleMethods2,
	title = {{Ensemble Based Systems in Decision Making}},
	author = {R. Polikar},
	journal = {IEEE Circuits and Systems},
	volume = {6},
	number = {3},
	pages = {21--345},
	year = {2006}
}
@article{clustering,
	title = {{Data Clustering: A Review}},
	author = {A. K. Jain and M. N. Murty and P. J. Flynn},
	journal = {ACM Computing Surveys},
	volume = {31},
	issue = {3},
	pages = {264--323},
	year = {1999}
}
@book{machine_learning_intro,
	author = {E. Alpaydin},
	year = {2004},
	title = {{Introduction to Machine Learning}},
	publisher = {MIT Press},
	address = {Massachusetts, USA},
}
@inproceedings{similarityEst,
	author = {M. Charikar},
	title = {{Similarity Estimation Techniques From Rounding Algorithms}},
	booktitle = {Annual ACM Symposium on Theory of Computing},
	year = {2002},
	address = {Montreal, Canada},
	publisher = {ACM Press},
	pages = {380--388}
}
@inproceedings{prank,
	author = {K. Crammer and Y. Singer},
	booktitle = {Neural Information Processing Systems (NIPS)},
	title = {{Pranking with Ranking}},
	year = {2001},
	address = {Vancouver, Canada},
	pages = {641--647},
}
% -------------------------------------------------------------
% Misc
% -------------------------------------------------------------
@inproceedings{polarization,
	author = {F. Wu and B.A. Huberman},
	title = {{Public Discourse in the Web Does Not Exhibit Group Polarization}},
	booktitle = {Technical Report},
	year = {2007},
	address = {HP Labs Research, Palo Alto, CA, USA}
}
@article{feedback,
	author = {M. J. Salganik and P. S. Dodds and D. J. Watts},
	title = {{Experimental Study of Inequality and Unpredictability in an Artificial Culture Market}},
	year = {2006},
	journal = {Science},
	volume = {311},
	pages = {854--856},
}
@inproceedings{user_trends,
	author = {F. Wu and B. A. Huberman},
	booktitle = {Research Note: Information Dynamics Laboratory},
	publisher = {HP Labs},
	title = {{Follow the Trend or Make a Difference: The Evolution of Collective Opinions}},
	year = {2007},
	address = {Palo Alto, CA, USA}
}
@inproceedings{psychology_incentives,
	author = {G. Beenen and K. Ling and X. Wang and K. Chang and D. Frankowski and P. Resnick and R.E. Kraut},
	booktitle = {Computer Supported Cooperative Work (CSCW)},
	title = {{Using Social Psychology to Motivate Contributions to Online Communities}},
	year = {2004},
	pages = {212--221},
	month = {November},
	address = {Chicago, USA}
}
% -------------------------------------------------------------
% Graphs - Social Networks
% -------------------------------------------------------------
@article{graphConcepts,
	author = {A. Barabasi and R. Albert},
	journal = {Reviews of Modern Physics},
	pages = {47--97},
	title = {Statistical Mechanics of Complex Networks},
	volume = {74},
	year = {2002}
}
@inproceedings{socialNet,
	author = {M. Maia and J. Almeida and V. Almeida},
	title = {Identifying User Profiles in Online Social Networks},
	booktitle = {$1^{st}$ International Workshop on Social Network Systems (EuroSys)},
	year = {2008},
	publisher = {ACM Press}
 }
@inproceedings{socialNets,
	author = {R. Kumar and J. Novak and A. Tomkins},
	title = {{Structure and Evolution of Online Social Networks}},
	booktitle = {International Conference on Knowledge Discovery and Data Mining},
	pages = {611--617},
	year = {2006},
}