@preamble{ " \newcommand{\noop}[1]{} " } % a do-nothing command that serves a purpose

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@STRING{adbis = {Proceedings of the Symposium on Advances in Databases and Information Systems}}

@STRING{ai = {Artificial Inteligence}}

@STRING{cacm = {Communications of the ACM}}

@STRING{cikm = {Proceedings of the International Conference on Information and Knowledge Engineering}}

@STRING{computer = {IEEE Computer}}

@STRING{computernetw = {Computer Networks}}

@STRING{computingsurveys = {ACM Computing Surveys}}

@STRING{dasfaa = {Proceedings of the International Conference on Database Systems for Advanced Applications}}

@STRING{dawak = {Proceedings of the Data Warehousing and Knowledge Discovery}}

@STRING{dcc = {Proceedings of the Data Compression Conference}}

@STRING{dexa = {Proceedings of the International Conference on Database and Expert Systems Applications}}

@STRING{dke = {Data \& Knowledge Engineeering}}

@STRING{doceng = {Proceedings of the ACM Symposium on Document Engineering}}

@STRING{dood = {Proceedings of the International Conference Deductive and Object-Oriented Databases}}

@STRING{dpd = {Distributed and Parallel Databases}}

@STRING{ecdl = {Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries}}

@STRING{ecir = {Proceedings of the European Conference on Information Retrieval}}

@STRING{edbt = {Proceedings of the International Conference on Extending Database Technology}}

@STRING{eextt = {Proceedings of the VLDB Workshop on Efficiency and Effectiveness of XML Tools, and Techniques}}

@STRING{er = {Proceedings of the International Conference on Conceptual Modeling}}

@STRING{fse = {Proceedings of the ACM SIGSOFT Conference on the Foundations of Software Engineering}}

@STRING{geoinfo = {Proceedings of the Brazilian Symposium on GeoInformatics}}

@STRING{icde = {Proceedings of the IEEE International Conference on Data Engineering}}

@STRING{icdebulletin = {IEEE Data Engineering Bulletin}}

@STRING{icdt = {Proceedings of the International Conference on Database Theory}}

@STRING{icdm = {Proceedings of the IEEE International Conference on Data Mining}} 

@STRING{icml = {Proceedings of the International Conference on Machine Learning}}

@STRING{infosys = {Information Systems}}

@STRING{ipm = {Information Processing and Management}}

@STRING{jbcs = {Journal of the Brazilian Computer Society}}

@STRING{jcdl = {Proceedings of the ACM IEEE Joint Conference on Digital Libraries}}

@STRING{jep = {Journal of Electronic Publishing}}

@STRING{jidm = {Journal of Information and Data Management}}

@STRING{jiis = {Journal of Intelligent Information Systems}}

@STRING{jucs = {Journal of Universal Computer Science}}

@STRING{kdd = {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}}

@STRING{mobilesearch = {Proceedings of the WWW Workshop on Mobile Search}}

@STRING{odbase = {Proceedings of the International Conference on Ontologies, Databases and Applications of Semantics}}

@STRING{oopsla = {Proceedings of the Annual ACM Conference on Object-Oriented Programing Systems, Languages and Applications}}

@STRING{pkdd = {Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases}}

@STRING{pods = {Proceedings of the ACM Symposium on Principles of Database Systems}}

@STRING{pvldb = {Proceedings of the VLDB Endowment}}

@STRING{sac = {Proceedings of the ACM Symposium on Applied Computing}}

@STRING{sbbd = {Proceedings of the Brazilian Symposium on Databases}}

@STRING{seke = {Proceedings of the International Conference on Software Engineering and Knowledge Engineering}}

@STRING{sigir = {Proceedings of the International ACM SIGIR Conference on Research \& Development of Information Retrieval}}

@STRING{sigmod = {Proceedings of the ACM SIGMOD International Conference on Management of Data}}

@STRING{sigmodrecord = {SIGMOD Record}}

@STRING{ssdbm = {Proceedings of the International Conference on Scientific and Statistical Databases Management}}

@STRING{sstd = {Proceedings of the Internationa Symposium on Spatial and Temporal Databases}}

@STRING{time = {Proceedings of the International Symposium on Temporal Representation and Reasoning}}

@STRING{tkdd = {ACM Transactions on Knowledge Discovery from Data}}

@STRING{tkde = {IEEE Transactions on Knowledge and Data Engineering}}

@STRING{tods = {ACM Transactions on Database Systems }}

@STRING{tois = {ACM Transactions on Information Systems}}

@STRING{tse = {Transactions on Software Engineering}}

@STRING{uai = {Proceedings of the Conference in Uncertainty in Artificial Intelligence}}

@STRING{vldb = {Proceedings of the International Conference on Very Large Data Bases}}

@STRING{vldbj = {The VLDB Journal}}

@STRING{webdb = {Proceedings of the Workshop on Web and Databases}}

@STRING{webmedia = {Proceedings of the Brazilian Symposium on Multimedia and the Web}}

@STRING{www = {Proceedings of the International World Wide Web Conferences}}

@STRING{wwwposter = {Proceedings of the International World Wide Web Conferences, Poster session}}

@STRING{xsym = {Proceedings of XML Database Symposium}}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

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author = {Breese, John S. and Heckerman, David and Kadie, Carl},
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 series = {WSDM '11},
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year={2012},
issn={2095-2228},
journal={Frontiers of Computer Science},
volume={6},
number={2},
title={Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models},
publisher={SP Higher Education Press},
keywords={recommender systems; latent factor models; pairwise preferences; active learning},
author={Balakrishnan, Suhrid and Chopra, Sumit},
pages={197-208},
language={English}
}

@inproceedings{deAmo:2014,
 author = {de Amo, Sandra and Ramos, Juliete},
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@inproceedings{Wang:2014,
 author = {Wang, Di and Ma, Jun and Lian, Tao and Guo, Lei},
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 series = {SAC '14},
 year = {2014},
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@inproceedings{Deamo2012,
   author    = {de Amo, Sandra and Bueno, Marcos L. P. and Alves, Guilherme and da Silva, Nádia Félix F.},
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@article{AmoBAS13,
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@incollection{prefrec,
year={2014},
isbn={978-3-319-06482-6},
booktitle={Advances in Artificial Intelligence},
volume={8436},
series={Lecture Notes in Computer Science},
editor={Sokolova, Marina and van Beek, Peter},
title={Towards a Tunable Framework for Recommendation Systems Based on Pairwise Preference Mining Algorithms},
publisher={Springer International Publishing},
keywords={recommender systems; preference mining; contextual preferences; preference aggregation},
author={de Amo, Sandra and Oliveira, CleianeG.},
pages={282-288},
language={English}
}

@article{PapiniAS14,
  author    = {Jaqueline A. J. Papini and Sandra de Amo and Allan Kardec S. Soares},
  title     = {FPSMining: {A} Fast Algorithm for Mining User Preferences in Data Streams},
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}

@inproceedings{Park:2009,
 author = {Park, Seung-Taek and Chu, Wei},
 title = {Pairwise Preference Regression for Cold-start Recommendation},
 booktitle = {Proceedings of the Third ACM Conference on Recommender Systems},
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author = {R. Canamares and P. Castells},
title = {Exploring social network effects on popularity biases in recommender systems},
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address = {Foster City, CA, USA},
}

@inproceedings{recsysAlexandridisSS13,
  author    = {Georgios Alexandridis and Georgios Siolas and Andreas Stafylopatis},
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  booktitle = {5th RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th {ACM} Conference on Recommender Systems.},
  year      = {2013},
  month = {October},
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@inproceedings{recsysBurkeV13,
  author    = {Robin D. Burke and Fatemeh Vahedian},
  title     = {Social Web Recommendation using Metapaths},
  booktitle = {5th RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th {ACM} Conference on Recommender Systems.},
  year      = {2013},
  month = {October},
address = {Hong Kong, China}
}

@inproceedings{Ma:2008,
 author = {Ma, Hao and Yang, Haixuan and Lyu, Michael R. and King, Irwin},
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@inproceedings{Sharma:2013,
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@incollection{rsEval,
year={2011},
isbn={978-0-387-85819-7},
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title={Evaluating Recommendation Systems},
publisher={Springer US},
author={Shani, Guy and Gunawardana, Asela},
pages={257-297},
language={English}
}

@inproceedings{Chang:2015,
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 series = {CSCW '15},
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 isbn = {978-1-4503-2922-4},
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@inproceedings{2015_kdmile_felicio_et_al,
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@inproceedings{Yang:2013,
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@article{Yuan201570,
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@article{srreview,
year={2013},
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title={Social recommendation: a review},
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publisher={Springer Vienna},
keywords={Social recommendation; Social recommender systems; Recommender systems; Social network analysis; Social media},
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pages={1113-1133},
language={English}
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@article{Konow:jucs,
  author =     "Roberto Konow and Wayman Tan and Luis Loyola and Javier Pereira and Nelson Baloian",
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@inproceedings{Librec,
  author    = {Guibing Guo and
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               Zhu Sun and
               Neil Yorke{-}Smith},
  title     = {LibRec: A Java Library for Recommender Systems},
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  year      = {2015}
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@article{adomavicius2005toward,
  title={Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions},
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@inproceedings{6037,
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@inproceedings{2016_ai_felicio_et_al,
author = {Fel\'{i}cio, Cr\'{i}cia Z. and de Almeida, Claudianne M. M. and Alves, Guilherme and Pereira, Fab\'{i}ola S. F. and Paix\~{a}o, Kl\'{e}risson V. R. and de Amo, Sandra},
booktitle={Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Victoria, BC, Canada, May},
title = {Visual Perception Similarities to Improve the Quality of User Cold Start Recommendations},
year={2016},
month={May},
note = {(To appear)}
}
