Study of the clustering result based on user behavior feedback

@article{Rui2017StudyOT,
  title={Study of the clustering result based on user behavior feedback},
  author={Li Guang Rui and Li Jian},
  journal={2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)},
  year={2017},
  pages={371-375}
}
Currently, similarity search is usually based on user's keywords, providing the sorted result to the user according to the similarity search algorithms. Sometimes, some results ranking ahead are not what the user really need. Therefore, we put forward the algorithm called KPathsim, which return the results based on users' behavior. Firstly, KPathsim algorithm return the sorted result based on the similarity calculation formula of given paths (e.g., two objects are similar if they are linked by… CONTINUE READING