recsys | ACM Conference on Recommender Systems (RecSys)

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Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011.
Recommender systems at the long tail.

Neel Sundaresan

Music recommendation and discovery revisited.

Òscar Celma, Paul Lamere

Robustness of recommender systems.

Neil J. Hurley

Recommendations as a conversation with the user.

Daniel Tunkelang

Generalizing matrix factorization through flexible regression priors.

Liang Zhang, Deepak Agarwal, Bee-Chung Chen

Modeling item selection and relevance for accurate recommendations: a bayesian approach.

Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale

Shared collaborative filtering.

Yu Zhao, Xinping Feng, Jianqiang Li, Bo Liu

Wisdom of the better few: cold start recommendation via representative based rating elicitation.

Nathan Nan Liu, Xiangrui Meng, Chao Liu, Qiang Yang

Personalized PageRank vectors for tag recommendations: inside FolkRank.

Heung-Nam Kim, Abdulmotaleb El-Saddik

A generalized stochastic block model for recommendation in social rating networks.

Mohsen Jamali, Tianle Huang, Martin Ester

Product recommendation and rating prediction based on multi-modal social networks.

Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos

Distributed rating prediction in user generated content streams.

Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi

Multi-criteria service recommendation based on user criteria preferences.

Liwei Liu, Nikolay Mehandjiev, Dong-Ling Xu

The effect of context-aware recommendations on customer purchasing behavior and trust.

Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin

Random walk based entity ranking on graph for multidimensional recommendation.

Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee

Group recommendation using feature space representing behavioral tendency and power balance among members.

Shunichi Seko, Takashi Yagi, Manabu Motegi, Shin-yo Muto

Rank and relevance in novelty and diversity metrics for recommender systems.

Saul Vargas, Pablo Castells

OrdRec: an ordinal model for predicting personalized item rating distributions.

Yehuda Koren, Joe Sill

Item popularity and recommendation accuracy.

Harald Steck

Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit.

Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl

Each to his own: how different users call for different interaction methods in recommender systems.

Bart P. Knijnenburg, Niels J. M. Reijmer, Martijn C. Willemsen

Rating: how difficult is it?

E. Isaac Sparling, Shilad Sen

A user-centric evaluation framework for recommender systems.

Pearl Pu, Li Chen, Rong Hu

Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy.

Noam Koenigstein, Gideon Dror, Yehuda Koren

CrimeWalker: a recommendation model for suspect investigation.

Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank

Personalized activity streams: sifting through the "river of news".

Ido Guy, Inbal Ronen, Ariel Raviv

Social link recommendation by learning hidden topics.

Masoud Makrehchi

Enhancing collaborative filtering systems with personality information.

Rong Hu, Pearl Pu

A market-based approach to address the new item problem.

Sarabjot Singh Anand, Nathan Griffiths

My head is your tail: applying link analysis on long-tailed music listening behavior for music recommendation.

Kibeom Lee, Kyogu Lee

Multi-value probabilistic matrix factorization for IP-TV recommendations.

Yu Xin, Harald Steck

A probabilistic definition of item similarity.

Oliver Jojic, Manu Shukla, Niranjan Bhosarekar

The "top N" news recommender: count distortion and manipulation resistance.

Shankar Prawesh, Balaji Padmanabhan

Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation.

Quan Yuan, Li Chen, Shiwan Zhao

Recommending music for places of interest in a mobile travel guide.

Matthias Braunhofer, Marius Kaminskas, Francesco Ricci

Adaptive social similarities for recommender systems.

Le Yu, Rong Pan, Zhangfeng Li

Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation.

Peter Forbes, Mu Zhu

Interactive multi-party critiquing for group recommendation.

Francesca Guzzi, Francesco Ricci, Robin D. Burke

A model for proactivity in mobile, context-aware recommender systems.

Wolfgang Woerndl, Johannes Huebner, Roland Bader, Daniel Gallego-Vico

Effective event discovery: using location and social information for scoping event recommendations.

Elizabeth M. Daly, Werner Geyer

Collaborative filtering with collective training.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu

Using Wikipedia to boost collaborative filtering techniques.

Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani

Semi-SAD: applying semi-supervised learning to shilling attack detection.

Zhiang Wu, Jie Cao, Bo Mao, Youquan Wang

Leveraging the linkedin social network data for extracting content-based user profiles.

Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto

Applications of the conjugate gradient method for implicit feedback collaborative filtering.

Gábor Takács, István Pilászy, Domonkos Tikk

Matrix factorization techniques for context aware recommendation.

Linas Baltrunas, Bernd Ludwig, Francesco Ricci

MyMediaLite: a free recommender system library.

Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme

Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders.

Pedro G. Campos, Fernando Díez, Manuel A. Sánchez-Montañés

Collaborative temporal order modeling.

Alexandros Karatzoglou

LOGO: a long-short user interest integration in personalized news recommendation.

Lei Li, Li Zheng, Tao Li

A pragmatic procedure to support the user-centric evaluation of recommender systems.

Bart P. Knijnenburg, Martijn C. Willemsen, Alfred Kobsa

Machine learned job recommendation.

Ioannis K. Paparrizos, Berkant Barla Cambazoglu, Aristides Gionis

Utilizing related products for post-purchase recommendation in e-commerce.

Jian Wang, Badrul Sarwar, Neel Sundaresan

Precision-oriented evaluation of recommender systems: an algorithmic comparison.

Alejandro Bellogín, Pablo Castells, Iván Cantador

Power to the people: exploring neighbourhood formations in social recommender system.

Steven Bourke, Kevin McCarthy, Barry Smyth

Stochastic matching and collaborative filtering to recommend people to people.

Luiz Augusto Sangoi Pizzato, Cameron Silvestrini

Recommendations in social media for brand monitoring.

Shanchan Wu, William Rand, Louiqa Raschid

LensKit: a modular recommender framework.

Michael D. Ekstrand, Michael Ludwig, Jack Kolb, John Riedl

myMicSound: an online sound-based microphone recommendation system.

Andrew T. Sabin, Chun Liang Chan

Recommenders benchmark framework.

Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel

Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search.

Siamak Faridani

Design guidelines for mobile group recommender systems to handle inaccurate or missing location data.

Markus Tschersich

Interface and interaction design for group and social recommender systems.

Yu Chen

Intelligent web usage clustering based recommender system.

Shafiq Alam

Predicting performance in recommender systems.

Alejandro Bellogín

Anchoring effects of recommender systems.

Jingjing Zhang

3rd workshop on context-aware recommender systems (CARS 2011).

Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin

WOMRAD: 2nd workshop on music recommendation and discovery.

Amelie Anglade, Òscar Celma, Ben Fields, Paul Lamere, Brian McFee

3rd workshop on recommender systems and the social web.

Jill Freyne, Sarabjot Singh Anand, Ido Guy, Andreas Hotho

Challenge on context-aware movie recommendation: CAMRa2011.

Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns

Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011).

Iván Cantador, Peter Brusilovsky, Tsvi Kuflik

RecSys'11 workshop on human decision making in recommender systems.

Alexander Felfernig, Li Chen, Monika Mandl

Recsys'11 workshop outline PeMA 2011: personalization in mobile applications.

Neal Lathia, Daniele Quercia, Licia Capra, Jon Crowcroft

Workshop on novelty and diversity in recommender systems - DiveRS 2011.

Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang

UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces.

Martijn C. Willemsen, Dirk G. F. M. Bollen, Michael D. Ekstrand