Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
Tóm tắt
Từ khóa
Tài liệu tham khảo
burke, 2000, Knowledge-Based Recommender Systems, Encyclopedia of Library and Information Systems
breese, 1998, Empirical Analysis of Predictive Algorithms for Collaborative Filtering, Proc 14th Conf Uncertainty in Artificial Intelligence
billsus, 1998, Learning Collaborative Information Filters, Proc Int'l Conf Machine Learning
basu, 1998, Recommendation as Classification: Using Social and Content-Based Information in Recommendation, Recommender Systems Papers from 1998 Workshop
delgado, 1999, Memory-Based Weighted-Majority Prediction for Recommender Systems, Proc ACM SIGIR '99 Workshop Recommender Systems Algorithms and Evaluation
cohen, 1999, Learning to Order Things, J Artificial Intelligence Research, 10, 243, 10.1613/jair.587
sarwar, 2000, Application of Dimensionality Reduction in Recommender Systems?A Case Study, Proc ACM WebKDD Workshop
cohn, 1996, Active Learning with Statistical Models, J Artificial Intelligence Research, 4, 129, 10.1613/jair.295
condliff, 1999, Bayesian Mixed-Effects Models for Recommender Systems, Proc ACM SIGIR '99 Workshop Recommender Systems Algorithms and Evaluation
chien, 1999, A Bayesian Model for Collaborative Filtering, Proc Seventh Int'l Workshop Artificial Intelligence and Statistics
claypool, 1999, Combining Content-Based and Collaborative Filters in an Online Newspaper, Proc ACM SIGIR '99 Workshop Recommender Systems Algorithms and Evaluation
si, 2003, Flexible Mixture Model for Collaborative Filtering, Proc 20th Int'l Conf Machine Learning
shani, 2002, An MDP-Based Recommender System, Proc 18th Conf Uncertainty in Artificial Intelligence
freund, 1998, An Efficient Boosting Algorithm for Combining Preferences, Proc 15th Int'l Conf Machine Learning
fawcett, 1996, Combining Data Mining and Machine Learning for Efficient User Profiling, Proc Second Int'l Conf Knowledge Discovery and Data Mining (KDD-96)
getoor, 1999, Using Probabilistic Relational Models for Collaborative Filtering, Proc Workshop Web Usage Analysis and User Profiling (WEBKDD '99)
duda, 2001, Pattern Classification
duchon, 1979, Splines Minimizing Rotation-Invariate Semi-Norms in Sobolev Spaces, Constructive Theory of Functions of Several Variables, 85
tran, 2000, Hybrid Recommender Systems for Electronic Commerce, Proc Knowledge-Based Electronic Markets Papers from the AAAI Workshop
wade, 2003, A Grocery Cart that Holds Bread, Butter, and Preferences, New York Times
ungar, 1998, Clustering Methods for Collaborative Filtering, Proc Recommender Systems Papers from 1998 Workshop
soboroff, 1999, Combining Content and Collaboration in Text Filtering, Proc Int'l Joint Conf Artificial Intelligence Workshop Machine Learning for Information Filtering
somlo, 2001, Adaptive Lightweight Text Filtering, Proc Fourth Int'l Symp Intelligent Data Analysis
hofmann, 1999, Probabilistic Latent Semantic Analysis, Proc 15th Conf Uncertainty in Artificial Intelligence, 289
armstrong, 2001, Principles of Forecasting?A Handbook for Researchers and Practitioners, 10.1007/978-0-306-47630-3
baeza-yates, 1999, Modern Information Retrieval
adomavicius, 2001, Multidimensional Recommender Systems: A Data Warehousing Approach, Proc Second Int'l Workshop Electronic Commerce (WELCOM '01)
good, 1999, Combining Collaborative Filtering with Personal Agents for Better Recommendations, Proc Conf Am Assoc Artificial Intelligence (AAAI-99), 439
lilien, 1992, Marketing Models
melville, 2002, Content-Boosted Collaborative Filtering for Improved Recommendations, Proc 18th Nat'l Conf Artificial Intelligence
marlin, 2003, Modeling User Rating Profiles for Collaborative Filtering, Proc 17th Ann Conf Neural Information Processing Systems (NIPS '03)
mannila, 1995, Discovering Frequent Episodes in Sequences, Proc First Int'l Conf Knowledge Discovery and Data Mining (KDD-95)
yang, 2001, On Evaluating Online Personalization, Proc Workshop Information Technology and Systems, 35
hull, 1999, The TREC-7 Filtering Track: Description and Analysis, Proc Seventh Text Retrieval Conf (TREC-7)
jin, 2003, Preference-Based Graphic Models for Collaborative Filtering, Proc 19th Conf Uncertainty in Artificial Intelligence (UAI 2003)
konstan, 1998, Recommender Systems: A GroupLens Perspective, Proc Recommender Systems Papers from 1998 Workshop
zhang, 2002, Novelty and Redundancy Detection in Adaptive Filtering, Proc 15th Ann Int l ACM SIGIR Conf, 81, 10.1145/564376.564393
2003, Proc WEBKDD 2002?Mining Web Data for Discovering Usage Patterns and Profiles
lee, 2001, Collaborative Learning for Recommender Systems, Proc Int'l Conf Machine Learning
li, 2004, Combining Usage, Content, and Structure Data to Improve Web Site Recommendation, Proc Fifth Int'l Conf Electronic Commerce and Web Technologies (EC-Web '04), 305
rocchio, 1971, Relevance Feedback in Information Retrieval, SMART Retrieval System?Experiments in Automatic Document Processing
popescul, 2001, Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments, Proc 17th Conf Uncertainty in Artificial Intelligence
salton, 1989, Automatic Text Processing
oard, 1998, Implicit Feedback for Recommender Systems, Proc Recommender Systems Papers from 1998 Workshop
pavlov, 2002, A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains, Proc 16th Ann Conf Neural Information Processing Systems (NIPS '02)
mooney, 1998, Book Recommending Using Text Categorization with Extracted Information, Proc Recommender Systems Papers from 1998 Workshop
nakamura, 1998, Collaborative Filtering Using Weighted Majority Prediction Algorithms, Proc 15th Int'l Conf Machine Learning
peddy, 2003, Building Solutions with Microsoft Commerce Server 2002
pennock, 1999, Collaborative Filtering by Personality Diagnosis: A Hybrid Memory And Model-Based Approach, Proc Int'l Joint Conf Artificial Intelligence Workshop Machine Learning for Information Filtering