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PURS: Personalized Unexpected Recommender System for Improving User Satisfaction

, , , , and . Fourteenth ACM Conference on Recommender Systems, page 279-288. ACM, (2020)

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Visualisation of Dog Myocardial Structure from Diffusion Tensor Magnetic Resonance Imaging: The Paradox of Uniformity and Variability., , , and . FIMH, volume 4466 of Lecture Notes in Computer Science, page 403-412. Springer, (2007)Device Data Ingestion for Industrial Big Data Platforms with a Case Study., , , , , , and . Sensors, 16 (3): 279 (2016)Mechanisms for Optimally Scheduling and Pricing Pleasingly Parallel Jobs in Service Clouds., , and . IEEE Access, (2018)ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding., , , , , and . CoRR, (2018)HS2: Active Learning over Hypergraphs., , and . CoRR, (2018)Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach., and . CoRR, (2017)Motif Clustering and Overlapping Clustering for Social Network Analysis., , , and . CoRR, (2016)DDTCDR: Deep Dual Transfer Cross Domain Recommendation., and . CoRR, (2019)Fuzzy C-means Clustering Analysis to Monitor Tissue Perfusion with Near Infrared Imaging., , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 1213-1214. Springer, (2001)A decentralized adaptive TDMA scheduling strategy for VANET., , , and . WCNC Workshops, page 216-221. IEEE, (2013)