Corpus ID: 236034031

Modeling User Behaviour in Research Paper Recommendation System

@article{Chaudhuri2021ModelingUB,
  title={Modeling User Behaviour in Research Paper Recommendation System},
  author={Arpita Chaudhuri and Debasis Samanta and Monalisa Sarma},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.07831}
}
User intention which often changes dynamically is considered to be an important factor for modeling users in the design of recommendation systems. Recent studies are starting to focus on predicting user intention (what users want) beyond user preference (what users like). In this work, a user intention model is proposed based on deep sequential topic analysis. The model predicts a user’s intention in terms of topic of interest. The Hybrid Topic Model (HTM) comprising Latent Dirichlet Allocation… Expand

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