DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction

@article{Wang2019DCCRDC,
  title={DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction},
  author={Qingxian Wang and Baoyun Peng and Xiaoyu Shi and Tianqi Shang and Mingsheng Shang},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={60186-60198}
}
Recently, collaborative filtering combined with various kinds of deep learning models is appealing to recommender systems, which have shown a strong positive effect in an accuracy improvement. However, many studies related to deep learning model rely heavily on abundant information to improve prediction accuracy, which has stringent data requirements in addition to raw rating data. Furthermore, most of them ignore the interaction effect between users and items when building the recommendation… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-10 OF 34 REFERENCES