2 papers
cs.IR2023
Personalized Search Via Neural Contextual Semantic Relevance Ranking
Deguang Kong, Daniel Zhou, Zhiheng Huang +1
Existing neural relevance models do not give enough consideration for query and item context information which diversifies the search results to adapt for personal preference. To b…
math.CO2023
Structure and Noise in Dense and Sparse Random Graphs: Percolated Stochastic Block Model via the EM Algorithm and Belief Propagation with Non-Backtracking Spectra
Marianna Bolla, Hannu Reittu, Runtian Zhou
In this survey paper it is illustrated how spectral clustering methods for unweighted graphs are adapted to the dense and sparse regimes. Whereas Laplacian and modularity based spe…