Collaborative filtering by PSO-based MMMF

@article{SowminiDevi2014CollaborativeFB,
  title={Collaborative filtering by PSO-based MMMF},
  author={V. Devi SowminiDevi and Venkateswara Rao Kagita and Arun K. Pujari and Vineet Padmanabhan},
  journal={2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2014},
  pages={569-574}
}
Matrix factorization (MF) techniques are one of the most succesful realisations of recommender systems based on collaborative filtering/prediction (CF). For instance, in a movie recommender system based on CF, the inputs to the system are user ratings on movies (items) the users have already seen. To predict user preferences on movies they have not yet watched one needs to understand the patterns in the partially observed rating matrix. It is possible to visualize this setting as a matrix… CONTINUE READING

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