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Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.

, , , , , , and . RecSys, page 438-443. ACM, (2020)

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An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks., and . ASONAM, page 319-322. IEEE Computer Society, (2016)An Algorithmic Framework for Decentralised Matrix Factorisation., , , , , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 307-323. Springer, (2020)Engineering a Parallel Δ-stepping Algorithm., , and . IEEE BigData, page 609-616. IEEE, (2019)PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy., , , , , , , and . RecSys, page 457-461. ACM, (2019)Boosting the Training Time of Weakly Coordinated Distributed Machine Learning., , , , and . IEEE BigData, page 1023-1029. IEEE, (2021)Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation., , , , , , and . RecSys, page 438-443. ACM, (2020)Parallel processing of filtered queries in attributed semantic graphs., , , , , , , and . J. Parallel Distributed Comput., (2015)Reformulations of the Map Equation for Community Finding and Blockmodelling., and . ASONAM, page 1606-1607. ACM, (2015)High-Productivity and High-Performance Analysis of Filtered Semantic Graphs., , , , , , , and . IPDPS, page 237-248. IEEE Computer Society, (2013)