recsys 2009 论文列表
Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009.
|
Tutorial on using social trust for recommender systems.
RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009).
Workshop on recommender systems and the social web.
Search the web x.0: mining and recommending web-mediated processes.
Situation-aware trust management.
Personalized query relaxations and repairs in knowledge-based recommendation.
Matching information content with music.
Applying relevant set correlation clustering to multi-criteria recommender systems.
Enhancing diversity in Top-N recommendation.
A spatial model for collaborative filtering of comments in an online discussion forum.
View-based recommender systems.
Using twitter to recommend real-time topical news.
Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system.
Uncovering functional dependencies in MDD-compiled product catalogues.
The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities.
Testing and evaluating tag recommenders in a live system.
Team recommendation in open innovation networks.
Recommenders' influence on buyers' decision process.
Recommender systems for the conference paper assignment problem.
Recommendations with prerequisites.
Rating aggregation in collaborative filtering systems.
Putting recommendations on the map: visualizing clusters and relations.
Preference elicitation with subjective features.
Preference aggregation in group recommender systems for committee decision-making.
Predicting social-tags for cold start book recommendations.
Personalized recommendation based on the personal innovator degree.
Personality aware recommendations to groups.
On the limitations of browsing top-N recommender systems.
MoviExplain: a recommender system with explanations.
Measuring predictive capability in collaborative filtering.
Maximum margin matrix factorization for code recommendation.
Learning to recommend helpful hotel reviews.
Knowledge infusion into content-based recommender systems.
iTag: a personalized blog tagger.
How does high dimensionality affect collaborative filtering?
Harnessing the power of "favorites" lists for recommendation systems.
Getting recommender systems to think outside the box.
Generating transparent, steerable recommendations from textual descriptions of items.
Generating comparative descriptions of places of interest in the tourism domain.
FriendSensing: recommending friends using mobile phones.
FeedbackTrust: using feedback effects in trust-based recommendation systems.
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems.
Ensemble methods for improving the performance of neighborhood-based collaborative filtering.
DynamicTV: a culture-aware recommender.
Donation dashboard: a recommender system for donation portfolios.
Critiquing recommenders for public taste products.
Context-based splitting of item ratings in collaborative filtering.
Conceptual recommender system for CiteSeerX.
Collaborative filtering for social tagging systems: an experiment with CiteULike.
Analysis of cold-start recommendations in IPTV systems.
An incentive-based architecture for social recommendations.
Adaptive tradeoff explanations in conversational recommenders.
Acceptance issues of personality-based recommender systems.
A semantic framework for personalized ad recommendation based on advanced textual analysis.
A recommender system for dynamically evolving online forums.
A partial-order based active cache for recommender systems.
A case study on the effectiveness of recommendations in the mobile internet.
Personalised and dynamic trust in social networks.
Learning to recommend with trust and distrust relationships.
Using a trust network to improve top-N recommendation.
Rate it again: increasing recommendation accuracy by user re-rating.
Manipulation-resistant collaborative filtering systems.
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles.
Statistical attack detection.
Effective diverse and obfuscated attacks on model-based recommender systems.
Assessment of conversation co-mentions as a resource for software module recommendation.
Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering.
A unified approach to building hybrid recommender systems.
Stacking recommendation engines with additional meta-features.
Regret-based optimal recommendation sets in conversational recommender systems.
Recommending new movies: even a few ratings are more valuable than metadata.
Increasing engagement through early recommender intervention.
Search shortcuts: a new approach to the recommendation of queries.
TagiCoFi: tag informed collaborative filtering.
Latent dirichlet allocation for tag recommendation.
Personalized recommendation of social software items based on social relations.
The impact of ambiguity and redundancy on tag recommendation in folksonomies.
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models.
Ordering innovators and laggards for product categorization and recommendation.
Pairwise preference regression for cold-start recommendation.
A spatio-temporal approach to collaborative filtering.
Collaborative prediction and ranking with non-random missing data.
Up close and personalized: a marketing view of recommendation systems.
Recsys'09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systems.
