推薦系統(tǒng) | 引用量超過1000的52篇經(jīng)典論文
注：數(shù)字表示引用量
1012-Ontological user profiling in recommender systems.pdf
1031-Deep Neural Networks for YouTube Recommendations.pdf
1060-Internet Recommendation Systems.pdf
1072-Trust in recommender systems.pdf
1086-Being accurate is not enough： how accuracy metrics have hurt recommender systems.pdf
1088- Collaborative Filtering Recommender Systems.pdf
1100-Advances in Collaborative Filtering.pdf
1111-Method, system and personalized web content manager responsive to browser viewers' psychological preferences, behavioral responses and physiological stress indicators.pdf
1204-Hidden factors and hidden topics：understanding rating dimensions with review text.pdf
1219-Trust-aware recommender systems.pdf
1233-A matrix factorization technique with trust propagation for recommendation in social networks.pdf
1253 - Performance of Recommender Algorithms on Top-N Recommendation Tasks.pdf
1282-SoRec：social recommendation using probabilistic matrix factorization.pdf
1344-Evaluating Recommendation Systems.pdf
1391-Taking the Human Out of the Loop：A Review of Bayesian Optimization.pdf
1395-Content-based Recommender Systems：State of the Art and Trends.pdf
1417-Neural Collaborative Filtering.pdf
1420-Recommender systems with social regularization.pdf
1461-Collaborative topic modeling for recommending scientific articles.pdf
1468-Incorporating contextual information in recommender systems using a multidimensional approach.pdf
1502-Hybrid web recommender systems.pdf
1586-A contextual-bandit approach to personalized news article recommendation.pdf
1672-The Netflix Prize.pdf
1753-Latent semantic models for collaborative filtering.pdf
1794-The MovieLens Datasets：History and Context.pdf
1797-Improving recommendation lists through topic diversification.pdf
1812-Content-boosted collaborative filtering for improved recommendations.pdf
1829-Content-based book recommending using learning for text categorization.pdf
1835-Propagation of trust and distrust.pdf
1867-Eigentaste：A Constant Time Collaborative Filtering Algorithm.pdf
1877-What makes a helpful online review？a study of customer reviews on amazon.com.pdf
1880-Application of Dimensionality Reduction in Recommender System - A Case Study.pdf
1899-The influence of online product recommendations on consumers' online choices.pdf
2037-Collaborative filtering recommender systems.pdf
2056-Methods and metrics for cold-start recommendations.pdf
2362-Recommender systems survey.pdf
2364-Context-Aware Recommender Systems.pdf
2431-E-Commerce Recommendation Applications.pdf
2449-Collaborative Filtering for Implicit Feedback Datasets.pdf
2557-Item-based top- N recommendation algorithms.pdf
2693-A distributed, architecture-centric approach to computing accurate recommendations from very large and sparse datasets.pdf
2779-Content-based recommendation systems.pdf
2897-Collaborative filtering with temporal dynamics.pdf
2980-The dynamics of viral marketing.pdf
3224-Factorization meets the neighborhood：a multifaceted collaborative filtering model.pdf
3618-A Survey of Collaborative Filtering Techniques.pdf
4656-Hybrid Recommender Systems：Survey and Experiments.pdf
6520-Evaluating collaborative filtering recommender systems.pdf
6948-Amazon.com recommendations：item-to-item collaborative filtering.pdf
7459-Matrix Factorization Techniques for Recommender Systems.pdf
9317-Item-based collaborative filtering recommendation algorithms.pdf
11644-Toward the next generation of recommender systems：a survey of the state-of-the-art and possible extensions.pdf
