Alon Altman & Moshe Tennenholtz (2005):
On the axiomatic foundations of ranking systems.
In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI),
Edinburgh, Great Britain,
pp. 917–922.
Alon Altman & Moshe Tennenholtz (2005):
Ranking systems: The PageRank axioms.
In: Proceedings of the 6th ACM conference on Electronic Commerce (EC),
Vancouver, Canada,
pp. 1–8,
doi:10.1145/1064009.1064010.
Alon Altman & Moshe Tennenholtz (2010):
An axiomatic approach to personalized ranking systems.
Journal of the ACM 57(4),
pp. 1–35,
doi:10.1145/1734213.1734220.
Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das & Cong Yu (2009):
Group recommendation: semantics and efficiency.
In: Proceedings of the VLDB Endowment 2,
pp. 754–765.
Reid Andersen, Christian Borgs, Jennifer Chayes, Uriel Feige, Abraham Flaxman, Adam Kalai, Vahab Mirrokni & Moshe Tennenholtz (2008):
Trust-based recommendation systems: an axiomatic approach.
In: Proceedings of the 17th international conference on World Wide Web (WWW),
Beijing, China,
pp. 199–208,
doi:10.1145/1367497.1367525.
Kenneth Joseph Arrow (1951):
Social Choice and Individual Values.
Yale University Press.
Paolo Avesani, Paolo Massa & Roberto Tiella (2005):
A Trust-enhanced Recommender System Application: Moleskiing.
In: Proceedings of the 20th ACM symposium on Applied computing (SAC),
Santa Fe, New Mexico,
pp. 1589–1593,
doi:10.1145/1066677.1067036.
James Bennett & Stan Lanning (2007):
The Netflix Prize.
In: Proceedings of KDD Cup and Workshop.
Christian Borgs, Jennifer Chayes, Adam Tauman Kalai, Azarakhsh Malekian & Moshe Tennenholtz (2010):
A novel approach to propagating distrust.
In: Proceedings of the 6th Workshop on Internet and Network Economics (WINE),
Palo Alto, California,
pp. 87–105,
doi:10.1007/978-3-642-17572-5_8.
Inma Garcia, Laura Sebastia, Eva Onaindia & Cesar Guzman (2009):
A group recommender system for tourist activities.
In: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (EC-Web),
Linz, Austria,
pp. 26–37,
doi:10.1007/978-3-642-03964-5_4.
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra & Karim Seada (2010):
Enhancing group recommendation by incorporating social relationship interactions.
In: Proceedings of the 16th ACM international conference on Supporting group work (GROUP),
pp. 97–106,
doi:10.1145/1880071.1880087.
Jagadeesh Gorla, Neal Lathia, Stephen Robertson & Jun Wang (2013):
Probabilistic group recommendation via information matching.
In: Proceedings of the 22nd international conference on World Wide Web (WWW),
Seoul, Korea,
pp. 495–504,
doi:10.1145/2488388.2488432.
Anil Gürsel & Sandip Sen (2009):
Producing Timely Recommendations From Social Networks Through Targeted Search.
In: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2,
Budapest, Hungary,
pp. 805–812,
doi:10.1145/1558109.1558123.
Chung wei Hang & Munindar P. Singh (2010):
Trust-Based Recommendation Based on Graph Similarity.
In: Proceedings of the 13th International Workshop on Trust in Agent Societies,
Toronto, Canada,
pp. 71–81.
Jae Kyeong Kim, Hyea Kyeong Kim, Hee Young Oh & Young U. Ryu (2010):
A group recommendation system for online communities.
International Journal of Information Management 30(3),
pp. 212–219,
doi:10.1016/j.ijinfomgt.2009.09.006.
Mark O'Connor, Dan Cosley, Joseph A. Konstan & John Riedl (2001):
PolyLens: a recommender system for groups of users.
In: Proceedings of the 7th conference on European Conference on Computer Supported Cooperative Work (ECSCW),
Bonn, Germany,
pp. 199–218,
doi:10.1007/0-306-48019-0_11.
Jordi Palau, Miquel Montaner, Beatriz López & Josep Lluís de la Rosa (2004):
Collaboration Analysis in Recommender Systems Using Social Networks.
In: Proceedings of 8th Cooperative Information Agents International Workshop (CIA),
Lecture Notes in Computer Science 3191,
Erfurt, Germany,
pp. 137–151,
doi:10.1007/978-3-540-30104-2_11.
David M. Pennock, Eric Horvitz & C. Lee Giles (2000):
Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering.
In: Proceedings of the 17th National Conference on Artificial Intelligence (AAAI),
Austin, Texas,
pp. 729–734.
Charles R. Plott (1976):
Axiomatic Social Choice Theory: An Overview and Interpretation.
American Journal of Political Science 20(3),
pp. 511–596,
doi:10.2307/2110686.
Paul Resnick & Hal R. Varian (1997):
Recommender systems.
Communications of the ACM 40(3),
pp. 56–58,
doi:10.1145/245108.245121.
Paul Resnick & Richard Zeckhauser (2002):
Trust Among Strangers in Internet Transactions: Empirical Analysis of eBay's Reputation System.
In: Michael R. Baye: The Economics of the Internet and E-commerce (Advances in Applied Microeconomics) 11.
Emerald Group Publishing Limited,
pp. 127–157,
doi:10.1016/S0278-0984(02)11030-3.
Ola Rozenfeld & Moshe Tennenholtz (2009):
Consistent Continuous Trust-Based Recommendation Systems.
In: Proceedings of the 5th Workshop on Internet and Network Economics (WINE),
Rome, Italy,
pp. 113–124,
doi:10.1007/978-3-642-10841-9_12.
J. Ben Schafer, Joseph Konstan & John Riedi (1999):
Recommender Systems in E-Commerce.
In: Proceedings of the 1st ACM conference on Electronic Commerce (EC),
Denver, Colorado,
pp. 158–166,
doi:10.1145/336992.337035.
Shunichi Seko, Takashi Yagi, Manabu Motegi & Shinyo Muto (2011):
Group recommendation using feature space representing behavioral tendency and power balance among members.
In: Proceedings of the 5th ACM conference on Recommender systems (RecSys),
Chicago, Illinois,
pp. 101–108,
doi:10.1145/2043932.2043953.
Moshe Tennenholtz (2004):
Reputation systems: an axiomatic approach.
In: Proceedings of the 20th conference on Uncertainty in Artificial Intelligence (UAI),
Banff, Canada,
pp. 544–551.
Frank Edward Walter, Stefano Battiston & Frank Schweitzer (2008):
A model of a trust-based recommendation system on a social network.
Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) 16(1),
pp. 57–74,
doi:10.1007/s10458-007-9021-x.
Quan Yuan, Gao Cong & Chin-Yew Lin (2014):
COM: a generative model for group recommendation.
In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD),
New York City, New York,
pp. 163–172,
doi:10.1145/2623330.2623616.
Cheng Zhang, Mike Gartrell, Thomas P. Minka, Yordan Zaykov & John Guiver (2015):
GroupBox: A generative model for group recommendation.
Technical Report MSR-TR–2015-61.
Microsoft Research.