recsys 2011 论文列表Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011. |
UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces.
Workshop on novelty and diversity in recommender systems - DiveRS 2011.
Recsys'11 workshop outline PeMA 2011: personalization in mobile applications.
RecSys'11 workshop on human decision making in recommender systems.
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011).
Challenge on context-aware movie recommendation: CAMRa2011.
3rd workshop on recommender systems and the social web.
WOMRAD: 2nd workshop on music recommendation and discovery.
3rd workshop on context-aware recommender systems (CARS 2011).
Anchoring effects of recommender systems.
Predicting performance in recommender systems.
Intelligent web usage clustering based recommender system.
Interface and interaction design for group and social recommender systems.
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data.
Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search.
Recommenders benchmark framework.
Aviram Dayan Guy Katz Naseem Biasdi Lior Rokach Bracha Shapira Aykan Aydin Roland Schwaiger Radmila Fishel
myMicSound: an online sound-based microphone recommendation system.
LensKit: a modular recommender framework.
Recommendations in social media for brand monitoring.
Stochastic matching and collaborative filtering to recommend people to people.
Power to the people: exploring neighbourhood formations in social recommender system.
Precision-oriented evaluation of recommender systems: an algorithmic comparison.
Utilizing related products for post-purchase recommendation in e-commerce.
Machine learned job recommendation.
A pragmatic procedure to support the user-centric evaluation of recommender systems.
LOGO: a long-short user interest integration in personalized news recommendation.
Collaborative temporal order modeling.
Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders.
MyMediaLite: a free recommender system library.
Matrix factorization techniques for context aware recommendation.
Applications of the conjugate gradient method for implicit feedback collaborative filtering.
Leveraging the linkedin social network data for extracting content-based user profiles.
Semi-SAD: applying semi-supervised learning to shilling attack detection.
Using Wikipedia to boost collaborative filtering techniques.
Collaborative filtering with collective training.
Effective event discovery: using location and social information for scoping event recommendations.
A model for proactivity in mobile, context-aware recommender systems.
Interactive multi-party critiquing for group recommendation.
Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation.
Adaptive social similarities for recommender systems.
Recommending music for places of interest in a mobile travel guide.
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation.
The "top N" news recommender: count distortion and manipulation resistance.
A probabilistic definition of item similarity.
Multi-value probabilistic matrix factorization for IP-TV recommendations.
My head is your tail: applying link analysis on long-tailed music listening behavior for music recommendation.
A market-based approach to address the new item problem.
Enhancing collaborative filtering systems with personality information.
Social link recommendation by learning hidden topics.
Personalized activity streams: sifting through the "river of news".
CrimeWalker: a recommendation model for suspect investigation.
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy.
A user-centric evaluation framework for recommender systems.
Rating: how difficult is it?
Each to his own: how different users call for different interaction methods in recommender systems.
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit.
Item popularity and recommendation accuracy.
OrdRec: an ordinal model for predicting personalized item rating distributions.
Rank and relevance in novelty and diversity metrics for recommender systems.
Group recommendation using feature space representing behavioral tendency and power balance among members.
Random walk based entity ranking on graph for multidimensional recommendation.
The effect of context-aware recommendations on customer purchasing behavior and trust.
Multi-criteria service recommendation based on user criteria preferences.
Distributed rating prediction in user generated content streams.
Product recommendation and rating prediction based on multi-modal social networks.
A generalized stochastic block model for recommendation in social rating networks.
Personalized PageRank vectors for tag recommendations: inside FolkRank.
Wisdom of the better few: cold start recommendation via representative based rating elicitation.
Shared collaborative filtering.
Modeling item selection and relevance for accurate recommendations: a bayesian approach.
Generalizing matrix factorization through flexible regression priors.
Recommendations as a conversation with the user.
Robustness of recommender systems.
Music recommendation and discovery revisited.
Recommender systems at the long tail.