recsys 2008 论文列表Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008. |
Context-aware recommender systems.
Tutorial on recent progress in collaborative filtering.
Robust recommender systems.
Leveraging aggregate ratings for improving predictive performance of recommender systems.
Implications of psychological phenomenons for recommender systems.
A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle.
A network performance recommendation process for advanced internet applications users.
PITTCULT: trust-based cultural event recommender.
Improving top-n recommendation techniques using rating variance.
Navigation support for learners in informal learning environments.
An independent platform for the monitoring, analysis and adaptation of web sites.
Exploiting contextual information in recommender systems.
The value of personalised recommender systems to e-business: a case study.
Recommending scientific articles using citeulike.
Can people collaborate to improve the relevance of search results?
Adaptive collaborative filtering.
Matrix factorization and neighbor based algorithms for the netflix prize problem.
Personalized recommendation in social tagging systems using hierarchical clustering.
Online-updating regularized kernel matrix factorization models for large-scale recommender systems.
Prototyping recommender systems in jcolibri.
Three recommender approaches to interface controls reduction.
kNN CF: a temporal social network.
UTA-Rec: a recommender system based on multiple criteria analysis.
Who predicts better?: results from an online study comparing humans and an online recommender system.
Flexible recommendations over rich data.
Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map.
Crafting the initial user experience to achieve community goals.
A new approach to evaluating novel recommendations.
CARD: a decision-guidance framework and application for recommending composite alternatives.
Integrating tags in a semantic content-based recommender.
Unsupervised retrieval of attack profiles in collaborative recommender systems.
The information cost of manipulation-resistance in recommender systems.
A collaborative constraint-based meta-level recommender.
A random walk method for alleviating the sparsity problem in collaborative filtering.
Avoiding monotony: improving the diversity of recommendation lists.
Critique graphs for catalogue navigation.
Pfp: parallel fp-growth for query recommendation.
Incremental probabilistic latent semantic analysis for automatic question recommendation.
Evaluation of an ontology-content based filtering method for a personalized newspaper.
Personalized online document, image and video recommendation via commodity eye-tracking.
A cross-cultural user evaluation of product recommender interfaces.
Personalized, interactive tag recommendation for flickr.
Recommending topics for self-descriptions in online user profiles.
Social ranking: uncovering relevant content using tag-based recommender systems.
Tag recommendations based on tensor dimensionality reduction.
Mining recommendations from the web.
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks.
Tied boltzmann machines for cold start recommendations.
The long tail of recommender systems and how to leverage it.
Boosting collaborative filtering based on statistical prediction errors.
Computational advertising and recommender systems.