1. Trang chủ
  2. » Luận Văn - Báo Cáo

Nghiên cứu mô hình người sử dụng mở trong các hệ thống gợi ý thông tin theo nhu cầu

80 197 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 80
Dung lượng 7,73 MB

Nội dung

Ngày đăng: 28/07/2018, 11:01

Nguồn tham khảo

Tài liệu tham khảo Loại Chi tiết
[10] K. Yu, A. Schwaighofer, V. Tresp, X. Xu, and H. Kriegel,“Probabilistic Memory- based Collaborative Filtering,” IEEE Transactions on Knowledge and Data Engineering, vol. 16, no.1, pp. 56–69, 2004 Sách, tạp chí
Tiêu đề: Probabilistic Memory- based Collaborative Filtering,” "IEEETransactions on Knowledge and Data Engineering
[11] M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin, “Combining content-based and collaborative filters in an online newspaper,” ACM SIGIR’99 Workshop on Recommender Systems: Algorithms and Evaluation, 1999 Sách, tạp chí
Tiêu đề: Combining content-based and collaborativefilters in an online newspaper,” "ACM SIGIR’99 Workshop onRecommender Systems: Algorithms and Evaluation
[12] M. J. Pazzani, “A Framework for Collaborative, Content-Based andDemographic Filtering,” Artificial Intelligence Review, pp. 393–408, 1999 Sách, tạp chí
Tiêu đề: A Framework for Collaborative, Content-Based andDemographic Filtering,” "Artificial Intelligence Review
[13] P. Melville, R. J. Mooney, and R. Nagarajan, “Content-Boosted Collaborative Filtering for Improved Recommendations,”Proceedings of the 18th National Conference on Artificial Intelligence, Edmonton, Canada, 2002 Sách, tạp chí
Tiêu đề: Content-BoostedCollaborative Filtering for Improved Recommendations,”"Proceedings of the 18th National Conference on ArtificialIntelligence, Edmonton, Canada
[14] I. Soborof and C. Nicholas, “Combining content and collaboration intext filtering,” IJCAI’99 Workshop: Machine Learning for Information Filtering, 1999 Sách, tạp chí
Tiêu đề: Combining content andcollaboration intext filtering,” "IJCAI’99 Workshop: MachineLearning for Information Filtering
[15] C. Basu, H. Hirsh, and W. Cohen, “Recommendation as classification: Using social and content-based information in recommendation,” Recommender Systems. Papers from 1998 Workshop. Technical Report WS-98-08. AAAI Press, 1998 Sách, tạp chí
Tiêu đề: Recommendation asclassification: Using social and content-based information inrecommendation,” "Recommender Systems. Papers from 1998Workshop. Technical Report WS-98-08. AAAI Press
[16] A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock,“Methods and Metrics for Cold-Start Recommendations,” Sách, tạp chí
Tiêu đề: Methods and Metrics for Cold-Start Recommendations
[18] N. Belkin, J. Kay, and C. Tasso, “Special Issue on User Modeing and Information Filtering,” User Modeling and User Adapted Interaction, 1997 Sách, tạp chí
Tiêu đề: Special Issue on User Modeingand Information Filtering,” "User Modeling and User AdaptedInteraction
[19] J.Schumpeter, Theory of Economic Development. Harvard UniversityPress,1961 Sách, tạp chí
Tiêu đề: Theory of Economic Development
[20] MacQueen, “J. Some methods for classification and analysis of multivariate observations,”Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, 281--297, University of California Press, Berkeley, Calif.,1967 Sách, tạp chí
Tiêu đề: J. Some methods for classification and analysis ofmultivariate observations,”"Proceedings of the Fifth BerkeleySymposium on Mathematical Statistics and Probability
[21] h t t p: / / b i s . n e t . v n [22] https://techmaster.vn [23] h t t p: / / v i e t . j nl p .o r g Link

TỪ KHÓA LIÊN QUAN

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN

w