In this talk, I discuss multiple relational ranking problems arising from tensor data. Multi-rank algorithms and its relevant mathematical results (convergence, higher-order Markov chains, transition probability tensors and perturbation bounds) are presented. Applications in data mining and information retrieva l are given to demonstrate the performance and usefulness of the proposed algorithm.

Add:Building 58, The School of Mathematics, Tianjin University Beiyangyuan Campus,

No. 135, Ya Guan Road, Jinnan District, Tianjin, PRC

Tel:022-60787827 Mail:math@tju.edu.cn