recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
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Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008.
Boosting collaborative filtering based on statistical prediction errors.

Shengchao Ding, Shiwan Zhao, Quan Yuan, Xiatian Zhang, Rongyao Fu, Lawrence D. Bergman

The long tail of recommender systems and how to leverage it.

Yoon-Joo Park, Alexander Tuzhilin

Tied boltzmann machines for cold start recommendations.

Asela Gunawardana, Christopher Meek

MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks.

Rossano Schifanella, André Panisson, Cristina Gena, Giancarlo Ruffo

Mining recommendations from the web.

Guy Shani, David Maxwell Chickering, Christopher Meek

Tag recommendations based on tensor dimensionality reduction.

Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos

Social ranking: uncovering relevant content using tag-based recommender systems.

Valentina Zanardi, Licia Capra

Recommending topics for self-descriptions in online user profiles.

Werner Geyer, Casey Dugan, David R. Millen, Michael J. Muller, Jill Freyne

Personalized, interactive tag recommendation for flickr.

Nikhil Garg, Ingmar Weber

A cross-cultural user evaluation of product recommender interfaces.

Li Chen, Pearl Pu

Personalized online document, image and video recommendation via commodity eye-tracking.

Songhua Xu, Hao Jiang, Francis C. M. Lau

Evaluation of an ontology-content based filtering method for a personalized newspaper.

Veronica Maidel, Peretz Shoval, Bracha Shapira, Meirav Taieb-Maimon

Incremental probabilistic latent semantic analysis for automatic question recommendation.

Hu Wu, Yongji Wang, Xiang Cheng

Pfp: parallel fp-growth for query recommendation.

Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang, Edward Y. Chang

Critique graphs for catalogue navigation.

Tarik Hadzic, Barry O'Sullivan

Avoiding monotony: improving the diversity of recommendation lists.

Mi Zhang, Neil Hurley

A random walk method for alleviating the sparsity problem in collaborative filtering.

Hilmi Yildirim, Mukkai S. Krishnamoorthy

A collaborative constraint-based meta-level recommender.

Markus Zanker

The information cost of manipulation-resistance in recommender systems.

Paul Resnick, Rahul Sami

Unsupervised retrieval of attack profiles in collaborative recommender systems.

Kenneth Bryan, Michael P. O'Mahony, Padraig Cunningham

Integrating tags in a semantic content-based recommender.

Marco Degemmis, Pasquale Lops, Giovanni Semeraro, Pierpaolo Basile

CARD: a decision-guidance framework and application for recommending composite alternatives.

Alexander Brodsky, Sylvia Morgan Henshaw, Jon Whittle

A new approach to evaluating novel recommendations.

Òscar Celma, Perfecto Herrera

Crafting the initial user experience to achieve community goals.

Sara Drenner, Shilad Sen, Loren G. Terveen

Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map.

Martijn Kagie, Michiel C. van Wezel, Patrick J. F. Groenen

Flexible recommendations over rich data.

Georgia Koutrika, Robert Ikeda, Benjamin Bercovitz, Hector Garcia-Molina

Who predicts better?: results from an online study comparing humans and an online recommender system.

Vinod Krishnan, Pradeep Kumar Narayanashetty, Mukesh Nathan, Richard T. Davies, Joseph A. Konstan

UTA-Rec: a recommender system based on multiple criteria analysis.

Kleanthi Lakiotaki, Stelios Tsafarakis, Nikolaos F. Matsatsinis

kNN CF: a temporal social network.

Neal Lathia, Stephen Hailes, Licia Capra

Three recommender approaches to interface controls reduction.

Nathan Oostendorp, Paul Resnick

Prototyping recommender systems in jcolibri.

Juan A. Recio-García, Belén Díaz-Agudo, Pedro A. González-Calero

Online-updating regularized kernel matrix factorization models for large-scale recommender systems.

Steffen Rendle, Lars Schmidt-Thieme

Personalized recommendation in social tagging systems using hierarchical clustering.

Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke

Matrix factorization and neighbor based algorithms for the netflix prize problem.

Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk

Adaptive collaborative filtering.

Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

Can people collaborate to improve the relevance of search results?

Arun Kumar Agrahri, Divya Anand Thattandi Manickam, John Riedl

Recommending scientific articles using citeulike.

Toine Bogers, Antal van den Bosch

The value of personalised recommender systems to e-business: a case study.

M. Benjamin Dias, Dominique Locher, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa

Exploiting contextual information in recommender systems.

Linas Baltrunas

An independent platform for the monitoring, analysis and adaptation of web sites.

Marcos Aurélio Domingues

Navigation support for learners in informal learning environments.

Hendrik Drachsler, Hans G. K. Hummel, Rob Koper

Improving top-n recommendation techniques using rating variance.

YoungOk Kwon

PITTCULT: trust-based cultural event recommender.

Danielle Hyunsook Lee

A network performance recommendation process for advanced internet applications users.

Leobino Nascimento Sampaio

A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle.

Olga C. Santos

Implications of psychological phenomenons for recommender systems.

Erich Christian Teppan

Leveraging aggregate ratings for improving predictive performance of recommender systems.

Akhmed Umyarov

Robust recommender systems.

Robin D. Burke

Tutorial on recent progress in collaborative filtering.

Yehuda Koren

Context-aware recommender systems.

Gediminas Adomavicius, Alexander Tuzhilin