PLSA-Based Personalized Information Retrieval with Network Regularization
PLSA-Based Personalized Information Retrieval with Network Regularization is a scholarly work, published in 2019. The main subjects of the publication include information retrieval, Multi-label classification, computer science, document retrieval, keyword extraction, microblogging, recommender system, probabilistic latent semantic analysis, latent Dirichlet allocation, vector space model, query expansion, and topic model. For this sake, this article does research on user query history and proposes a method to construct user interest model utilizing query history.