Top-N recommendations in the presence of sparsity: An NCD-based approach

Author:

Nikolakopoulos Athanasios N.12,Garofalakis John D.12

Affiliation:

1. Department of Computer Engineering and Informatics, University of Patras, Panepistimioupoli, GR26500, Rio, Greece. E-mail: nikolako@ceid.upatras.gr

2. Computer Technology Institute and Press “Diophantus”, Panepistimioupoli, GR26504, Rio, Greece. E-mail: garofala@ceid.upatras.gr

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference49 articles.

1. [1]C. Anderson, The Long Tail: Why the Future of Business Is Selling Less of More, Hyperion, 2006.

2. Generic damping functions for propagating importance in link-based ranking;Baeza-Yates;Internet Mathematics,2006

3. [3]R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, 2nd edn, Addison-Wesley Publishing Company, USA, 2008.

4. Augmented implicitly restarted Lanczos bidiagonalization methods;Baglama;SIAM Journal on Scientific Computing,2005

5. [5]S. Balakrishnan and S. Chopra, Collaborative ranking, in: Proc. of the Fifth ACM International Conference on Web Search and Data Mining (WSDM’12), ACM, New York, NY, USA, 2012, pp. 143–152.

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3. On the Multi-Level Near Complete Decomposability of a Class of Multiprocessing Systems;Proceedings of the 20th Pan-Hellenic Conference on Informatics;2016-11-10

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