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googlescholar = {http://scholar.google.com/scholar?q=%22Discovery+and+Evaluation+of+Aggregate+Usage+Profiles+for+Web+Personalization%22}
}
@article{recommender:Montaner:2003,
author = {Miquel Montaner and Beatriz L\'{o}pez and Josep Llu\'{\i}s De LaRosa},
title = {A Taxonomy of Recommender Agents on theInternet},
journal = {Artificial Intelligence Review},
year = {2003},
volume = {19},
pages = {285--330},
number = {4},
issn = {0269-2821},
publisher = {Kluwer Academic Publishers},
google = {http://www.google.com/search?q=%22A+Taxonomy+of+Recommender+Agents+on+theInternet%22},
googlescholar = {http://scholar.google.com/scholar?q=%22A+Taxonomy+of+Recommender+Agents+on+theInternet%22}
}
@inproceedings{recommender:Pan:2008,
author = {Rong Pan and Yunhong Zhou and Bin Cao and Nathan N. Liu and Rajan
Lukose and Martin Scholz and Qiang Yang},
title = {One-Class Collaborative Filtering},
booktitle = {IEEE International Conference on Data Mining},
year = {2008},
pages = {502--511},
address = {Los Alamitos, CA, USA},
publisher = {IEEE Computer Society},
issn = {1550-4786},
journal = {Data Mining, IEEE International Conference on},
google = {http://www.google.com/search?q=%22One-Class+Collaborative+Filtering%22},
googlescholar = {http://scholar.google.com/scholar?q=%22One-Class+Collaborative+Filtering%22}
}
@article{recommender:Papagelis:2005,
author = {Manos Papagelis and Dimitris Plexousakis},
title = {Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents},
journal = {Engineering Applications of Artificial Intelligenc},
year = {2005},
volume = {18},
pages = {781--789},
number = {7},
month = oct,
owner = {hahsler},
timestamp = {2009.07.28},
google = {http://www.google.com/search?q=%22Qualitative+analysis+of+user-based+and+item-based+prediction+algorithms+for+recommendation+agents%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Qualitative+analysis+of+user-based+and+item-based+prediction+algorithms+for+recommendation+agents%22}
}
@inproceedings{recommender:Prassas:2001,
author = {George Prassas and Katherine C. Pramataris andOlga Papaemmanouil
and Georgios J. Doukidis},
title = {A Recommender System for Online Shopping Based on Past Customer Behaviour},
booktitle = {14th Bled Electronic Commerce Conference, Bled, Slovenia, June 25--26,
2001},
year = {2001},
pages = {766--782},
google = {http://www.google.com/search?q=%22A+Recommender+System+for+Online+Shopping+Based+on+Past+Customer+Behaviour%22},
googlescholar = {http://scholar.google.com/scholar?q=%22A+Recommender+System+for+Online+Shopping+Based+on+Past+Customer+Behaviour%22}
}
@techreport{recommender:Quadt:2001,
author = {Andr\'{e} Quadt},
title = {Personalisierung im E-Commerce},
institution = {AIFB, Universit{\"a}t Karlsruhe (TH)},
year = {2001},
type = {Diplomarbeit},
address = {D-76128 Karlsruhe, Germany},
google = {http://www.google.com/search?q=%22Personalisierung+im+E-Commerce%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Personalisierung+im+E-Commerce%22}
}
@inproceedings{recommender:Resnick:1994,
author = {Resnick, P. and Iacovou, N. and Suchak, M. and Bergstorm, P. and
Riedl, J.},
title = {GroupLens: An Open Architecture for Collaborative Filtering of Netnews},
booktitle = {Proceedings of ACM 1994 Conference on Computer Supported Cooperative
Work},
year = {1994},
pages = {175--186},
publisher = {ACM},
google = {http://www.google.com/search?q=%22GroupLens:+An+Open+Architecture+for+Collaborative+Filtering+of+Netnews%22},
googlescholar = {http://scholar.google.com/scholar?q=%22GroupLens:+An+Open+Architecture+for+Collaborative+Filtering+of+Netnews%22}
}
@article{recommender:Resnick:1997,
author = {Paul Resnick and Hal R. Varian},
title = {Recommender systems},
journal = {Commun. ACM},
year = {1997},
volume = {40},
pages = {56--58},
number = {3},
publisher = {ACM},
google = {http://www.google.com/search?q=%22Recommender+systems%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Recommender+systems%22}
}
@inproceedings{recommender:Sandvig:2007,
author = {J. J. Sandvig and Bamshad Mobasher and Robin Burke},
title = {Robustness of collaborative recommendation based on association rule mining},
booktitle = {RecSys '07: Proceedings of the 2007 ACM conference on Recommendersystems},
year = {2007},
pages = {105--112},
publisher = {ACM},
isbn = {978-1-59593-730--8},
location = {Minneapolis, MN, USA},
google = {http://www.google.com/search?q=%22Robustness+of+collaborative+recommendation+based+on+association+rule+mining%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Robustness+of+collaborative+recommendation+based+on+association+rule+mining%22}
}
@inproceedings{recommender:Sarwar:2002,
author = {Sarwar, B. and Karypis, G. and Konstan, J. and Riedl, J. },
title = {Recommender systems for large-scale e-commerce: Scalable neighborhood formation using clustering},
booktitle = {Proceedings of the Fifth International Conference on Computer andInformation
Technology},
year = {2002},
abstract = {Use clustering to make neighborhood formation needed for user based
CF more efficient.},
google = {http://www.google.com/search?q=%22Recommender+systems+for+large-scale+e-commerce:+Scalable+neighborhood+formation+using+clustering%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Recommender+systems+for+large-scale+e-commerce:+Scalable+neighborhood+formation+using+clustering%22}
}
@inproceedings{recommender:Sarwar:2001,
author = {Badrul Sarwar and George Karypis and Joseph Konstan and John Riedl},
title = {Item-based collaborative filtering recommendation algorithms},
booktitle = {WWW '01: Proceedings of the 10th international conference on World
Wide Web},
year = {2001},
pages = {285--295},
publisher = {ACM},
abstract = {Analyzes different techniques for item-based algorithms.},
isbn = {1-58113-348-0},
location = {Hong Kong, Hong Kong},
google = {http://www.google.com/search?q=%22Item-based+collaborative+filtering+recommendation+algorithms%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Item-based+collaborative+filtering+recommendation+algorithms%22}
}
@inproceedings{recommender:Sarwar:2000,
author = {Badrul Sarwar and George Karypis and Joseph Konstan and John Riedl},
title = {Analysis of recommendation algorithms for e-commerce},
booktitle = {EC '00: Proceedings of the 2nd ACM conference on Electronic commerce},
year = {2000},
pages = {158--167},
publisher = {ACM},
abstract = {Compare association rules, CF and dimensionality reduction using two
data sets- Introduce a simple association rule based recommender.},
isbn = {1-58113-272-7},
location = {Minneapolis, Minnesota, United States},
google = {http://www.google.com/search?q=%22Analysis+of+recommendation+algorithms+for+e-commerce%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Analysis+of+recommendation+algorithms+for+e-commerce%22}
}
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author = {J. Ben Schafer and Joseph A. Konstan and John Riedl},
title = {E-Commerce Recommendation Applications},
journal = {Data Mining and Knowledge Discovery},
year = {2001},
volume = {5},
pages = {115-153},
number = {1/2},
review = {In this
article we present an explanation of how recommender systems are relatedto
some traditional
database analysis techniques. We examine how recommender systems helpE-commerce
sites
increase sales and analyze the recommender systems at six market-leadingsites.
Based on
these examples, we create a taxonomy of recommender systems.},
google = {http://www.google.com/search?q=%22E-Commerce+Recommendation+Applications%22},
googlescholar = {http://scholar.google.com/scholar?q=%22E-Commerce+Recommendation+Applications%22}
}
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author = {J. Ben Schafer and Joseph Konstan and John Riedi},
title = {Recommender systems in e-commerce},
booktitle = {EC '99: Proceedings of the 1st ACM conference on Electronic commerce},
year = {1999},
pages = {158--166},
address = {New York, NY, USA},
publisher = {ACM},
abstract = {In this
paper we present an explanation of how recommender systems
help E-commerce sites increase sales, and analyze six sites that
use recommender systems including several sites that use more
than one recommender system. Based on the examples, we
create a taxonomy of recommender systems.},
location = {Denver, Colorado, United States},
google = {http://www.google.com/search?q=%22Recommender+systems+in+e-commerce%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Recommender+systems+in+e-commerce%22}
}
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author = {Schein, Andrew I. and Popescul, Alexandrin and Ungar, Lyle H. and
Pennock, David M.},
title = {CROC: A New Evaluation Criterion for Recommender Systems},
journal = {Electronic Commerce Research},
year = {2005},
volume = {5},
pages = {51--74},
number = {1},
google = {http://www.google.com/search?q=%22CROC:+A+New+Evaluation+Criterion+for+Recommender+Systems%22},
googlescholar = {http://scholar.google.com/scholar?q=%22CROC:+A+New+Evaluation+Criterion+for+Recommender+Systems%22}
}
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author = {Ingo Schwab and Alfred Kobsa and Ivan Koychev},
title = {Learning User Interests through Positive Examples Using Content Analysis and Collaborative Filtering},
booktitle = {30 2001. Internal Memo, GMD},
year = {2001},
google = {http://www.google.com/search?q=%22Learning+User+Interests+through+Positive+Examples+Using+Content+Analysis+and+Collaborative+Filtering%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Learning+User+Interests+through+Positive+Examples+Using+Content+Analysis+and+Collaborative+Filtering%22}
}
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author = {Ingo Schwab and Wolfgang Pohl and Ivan Koychev},
title = {Learning to Recommend from Positive Evidence},
booktitle = {Proceedings of Intelligent User Interfaces 2000, ACM},
year = {2000},
pages = {241--247},
google = {http://www.google.com/search?q=%22Learning+to+Recommend+from+Positive+Evidence%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Learning+to+Recommend+from+Positive+Evidence%22}
}
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author = {U. Shardanand and P. Maes},
title = {Social Information Filtering: Algorithms for Automating 'Word of Mouth'},
booktitle = {Conference proceedings on Human factors in computing systems (CHI'95)},
year = {1995},
pages = {210-217},
address = {Denver, CO},
month = may,
publisher = {ACM Press/Addison-Wesley Publishing Co.},
google = {http://www.google.com/search?q=%22Social+Information+Filtering:+Algorithms+for+Automating+'Word+of+Mouth'%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Social+Information+Filtering:+Algorithms+for+Automating+'Word+of+Mouth'%22}
}
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author = {Myra Spiliopoulou},
title = {Web Usage Mining for Web Site Evaluation},
journal = {Communications of the ACM},
year = {2000},
volume = {43},
pages = {127-134},
number = {8},
google = {http://www.google.com/search?q=%22Web+Usage+Mining+for+Web+Site+Evaluation%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Web+Usage+Mining+for+Web+Site+Evaluation%22}
}
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author = {Xiaoyuan Su and Taghi M. Khoshgoftaar},
title = {A Survey of Collaborative Filtering Techniques},
journal = {Advances in Artificial Intelligence},
year = {2009},
volume = {2009},
owner = {hahsler},
timestamp = {2009.12.07},
google = {http://www.google.com/search?q=%22A+Survey+of+Collaborative+Filtering+Techniques%22},
googlescholar = {http://scholar.google.com/scholar?q=%22A+Survey+of+Collaborative+Filtering+Techniques%22}
}
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author = {Pang-Nin Tan and Vipin Kumar},
title = {Discovery of Web Robot Sessions Based on Their Navigational Patterns},
journal = {Data Mining and Knowledge Discovery},
year = {2002},
volume = {6},
pages = {9-35},
google = {http://www.google.com/search?q=%22Discovery+of+Web+Robot+Sessions+Based+on+Their+Navigational+Patterns%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Discovery+of+Web+Robot+Sessions+Based+on+Their+Navigational+Patterns%22}
}
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author = {Andreas Thor and Nick Golovin and Erhard Rahm},
title = {Adaptive website recommendations with AWESOME},
journal = {VLDB J.},
year = {2005},
volume = {14},
pages = {357-372},
number = {4},
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googlescholar = {http://scholar.google.com/scholar?q=%22Adaptive+website+recommendations+with+AWESOME%22}
}
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author = {Ungar, L. and Foster, D. },
title = {Clustering Methods For Collaborative Filtering},
booktitle = {Proceedings of the Workshop on Recommendation Systems},
year = {1998},
publisher = {AAAI Press, Menlo Park California},
citeulike-article-id = {493562},
google = {http://www.google.com/search?q=%22Clustering+Methods+For+Collaborative+Filtering%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Clustering+Methods+For+Collaborative+Filtering%22}
}
@inproceedings{recommender:Vozalis:2003,
author = {Emmanouil Vozalis and Konstantinos G. Margaritis},
title = {Analysis of Recommender Systems' Algorithms},
booktitle = {Proceedings of the sixth Hellenic European conference on computermathematics
and its applications (HERCMA 2003), Athens, Greece.},
year = {2003},
abstract = {Reviews challenges, recommender algoritms (association rules, memory-based,model-based,
hybrid) and evaluation metrics.},
owner = {hahsler},
timestamp = {2008.05.23},
google = {http://www.google.com/search?q=%22Analysis+of+Recommender+Systems'+Algorithms%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Analysis+of+Recommender+Systems'+Algorithms%22}
}
@inproceedings{recommender:Vucetic:2000,
author = {S. Vucetic and Z. Obradovic},
title = {A regression-based approach for scaling-up personalized recommender systems in e-commerce},
booktitle = {ACM WebKDD 2000 Web Mining for E-Commerce Workshop},
year = {2000},
google = {http://www.google.com/search?q=%22A+regression-based+approach+for+scaling-up+personalized+recommender+systems+in+e-commerce%22},
googlescholar = {http://scholar.google.com/scholar?q=%22A+regression-based+approach+for+scaling-up+personalized+recommender+systems+in+e-commerce%22}
}
@inproceedings{recommender:Weiss:2001,
author = {Sholom M. Weiss and Nitin Indurkhya},
title = {Lightweight Collaborative Filtering Method for Binary-Encoded Data},
booktitle = {Principles of Data Mining and Knowledge Discovery},
year = {2001},
volume = {2168/2001},
series = {Lecture Notes in Computer Science},
pages = {484--491},
publisher = {Springer},
owner = {hahsler},
timestamp = {2009.08.07},
google = {http://www.google.com/search?q=%22Lightweight+Collaborative+Filtering+Method+for+Binary-Encoded+Data%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Lightweight+Collaborative+Filtering+Method+for+Binary-Encoded+Data%22}
}
@inproceedings{recommender:Yu:2001,
author = {Kai Yu and Xiaowei Xu and Martin Ester and Hans-Peter Kriegel},
title = {Selecting Relevant Instances for Efficient Accurate Collaborative Filtering},
booktitle = {Proceedings of the 10th CIKM},
year = {2001},
pages = {239-246},
publisher = {ACM Press},
google = {http://www.google.com/search?q=%22Selecting+Relevant+Instances+for+Efficient+Accurate+Collaborative+Filtering%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Selecting+Relevant+Instances+for+Efficient+Accurate+Collaborative+Filtering%22}
}
@inproceedings{recommender:Zhou:2008,
author = {Zhou, Yunhong and Wilkinson, Dennis and Schreiber, Robert and Pan,
Rong},
title = {Large-Scale Parallel Collaborative Filtering for the Netflix Prize},
booktitle = {AAIM '08: Proceedings of the 4th international conference on Algorithmic
Aspects in Information and Management},
year = {2008},
pages = {337--348},
address = {Berlin, Heidelberg},
publisher = {Springer-Verlag},
isbn = {978-3-540-68865-5},
location = {Shanghai, China},
google = {http://www.google.com/search?q=%22Large-Scale+Parallel+Collaborative+Filtering+for+the+Netflix+Prize%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Large-Scale+Parallel+Collaborative+Filtering+for+the+Netflix+Prize%22}
}
@book{recommender:Brusilovsky:2007,
title = {The Adaptive Web: Methods and Strategies of Web Personalization},
publisher = {Springer},
year = {2007},
editor = {Brusilovsky, Peter and Kobsa, Alfred and Nejdl, Wolfgang },
series = {Lecture Notes in Computer Science},
address = {Berlin},
month = {June},
isbn = {3540720782},
google = {http://www.google.com/search?q=%22The+Adaptive+Web:+Methods+and+Strategies+of+Web+Personalization%22},
googlescholar = {http://scholar.google.com/scholar?q=%22The+Adaptive+Web:+Methods+and+Strategies+of+Web+Personalization%22}
}
@article{Zhou2010,
author = {Zhou, Tao and Kuscsik, Zolt\'{a}n and Liu, Jian-guo and Medo, Mat\'{u}\v{s} and Rushton, Joseph and Zhang, Yi-cheng},
doi = {10.1073/pnas.1000488107},
file = {:home/hahsler/papers/Mendeley Desktop/Zhou et al. - 2010.pdf:pdf},
journal = {PNAS},
title = {{Solving the apparent diversity-accuracy dilemma of recommender systems}},
year = {2010},
google = {http://www.google.com/search?q=%22Solving+the+apparent+diversity-accuracy+dilemma+of+recommender+systems%22},
googlescholar = {http://scholar.google.com/scholar?q=%22Solving+the+apparent+diversity-accuracy+dilemma+of+recommender+systems%22}
}
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