Have a personal or library account? Click to login

Traveling Route Generation Algorithm Based On LDA and Collaborative Filtering

By:
Open Access
|Oct 2019

References

  1. Wohlin C, Runeson P, Höst M, et al. Experimentation in Software Engineering [J]. IEEE Transactions on Software Engineering, 2012, SE-12(7):733-743.
  2. Mabao Z, Research on Methods and Techniques of Tourism Travel Decision Support System [D]., Shandong University of Science and Technology. 54-58
  3. Baohui Jin. Travel route choice model based on regret theory. COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(4) 158-163
  4. Changing X, Kewen X, Yongwei Q, et al. Tourist route recommendation based on dynamic clustering [J]. Journal of Computer Applications, 2017, 37(8):2395-2400.
  5. Hui W, Changhua L, Yuling W, et al. Application of ant colony optimization in Tourism Route Planning [J]. Software Guide, 2016, 15(4): 144-146.
  6. Hou L, Yang H, Fan Y, et al. Research on Personalized Trip Itinerary Based on ILS-CS Optimization [J]. Journal of Frontiers of Computer Science & Technology, 2016, 10(1): 142-150.
  7. Yajun Li, Qing Lu, Changyong Liang. Review of Collaborative Filtering[J]. Pattern Re-cognition and Artificial Intelligence, 2014, 27(8):720-734.
  8. Qiang C, Dongmei H, Haisheng L, et al. Personalized resource recommendations based on tags and collaborative filtering [J]. Computer Science, 2014,41(1):69-71.
  9. Linden G, Smith B, York J. Amazon.com Recommendations: Item-to-Item Collaborative Filtering [J]. IEEE Internet Computing, 2003, 7(1):76-80.
  10. Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation [J]. Journal of Machine Learning Research, 2008, 3:993-1022.
  11. Krestel R, Fankhauser P, Nejdl W. Latent dirichlet allocation for tag recommendation[C]. ACM Conference on Recommender Systems, Recsys 2009, New York, Ny, Usa, October. DBLP, 2009:61-68.
  12. V A. Epanechnikov Non-Parametric Estimation of a Multivariate Probability Density [J]. Theory of Probability & Its Applications, 2006, 14(1):153-158.
  13. Friedman N, Dan G, Goldszmidt M. Bayesian Network Classifiers [J]. Machine Learning, 1997, 29(2-3):131-163.
  14. Heinrich G. Parameter Estimation for Text Analysis[J]. Technical Report, 2008.
  15. Billsus D, Pazzani M J. Learning Collaborative Information Filters.[C]//Proceedings of the 15th National Conference on Artificial Intelligence (AAAI1998). San Francisco: AAAI Press, 1998: 46-54.
  16. BASU C, HIRSH H, and COHEN W. Recommendation as classification: using social and content-based information in recommendation[C]//Proceedings of the 15th National Conference on Artificial Intelligence. San Francisco: AAAI Press, 1998: 714-720.
  17. Yang S H, Long B, Smola A J, et al. Collaborative competitive filtering:learning recommender using context of user choice[C]//International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2011:295-304.
  18. George G, Haas M R, Pentland A. Big Data and Management: From the Editors [J]. Academy of Management Journal, 2014, 57(2):321-326.
Language: English
Page range: 47 - 62
Published on: Oct 14, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2019 Peng Cui, Yuming Wang, Chunmei Li, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.