recsys 2007 论文列表Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, Minneapolis, MN, USA, October 19-20, 2007. |
Can social information retrieval enhance the discovery and reuse of digital educational content?
Explanations of recommendations.
Elicitation of profile attributes by transparent communication.
A multiagent knowledge-based recommender approach with truth maintenance.
Evaluating sources of implicit feedback in web searches.
A hybrid social-acoustic recommendation system for popular music.
The challenges of recommending digital selves in physical spaces.
Techlens: a researcher's desktop.
Nishikant Kapoor Jilin Chen John T. Butler Gary C. Fouty James A. Stemper John Riedl Joseph A. Konstan
Toward the exploitation of social access patterns for recommendation.
Towards ensemble learning for hybrid music recommendation.
The keepup recommender system.
The evaluation of a hybrid critiquing system with preference-based recommendations organization.
Supporting social recommendations with activity-balanced clustering.
Leveraging aggregate ratings for better recommendations.
Evaluating information presentation strategies for spoken recommendations.
Effective explanations of recommendations: user-centered design.
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering.
Influence-based collaborative active learning.
Comparing and evaluating information retrieval algorithms for news recommendation.
Case amazon: ratings and reviews as part of recommendations.
A recommender system for on-line course enrolment: an initial study.
A probabilistic model for item-based recommender systems.
Improving new user recommendations with rule-based induction on cold user data.
Usage-based web recommendations: a reinforcement learning approach.
Robustness of collaborative recommendation based on association rule mining.
Addressing uncertainty in implicit preferences.
Conversational recommenders with adaptive suggestions.
Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendations.
Incorporating user control into recommender systems based on naive bayesian classification.
Supporting product selection with query editing recommendations.
A recursive prediction algorithm for collaborative filtering recommender systems.
Robust collaborative filtering.
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems.
Distributed collaborative filtering with domain specialization.
The influence limiter: provably manipulation-resistant recommender systems.
Trust-aware recommender systems.
Enhancing privacy and preserving accuracy of a distributed collaborative filtering.
Private distributed collaborative filtering using estimated concordance measures.