Mobile recommendation challenges within a strong privacy oriented paradigm

Author:

Proux Denys1,Roulland Frederic1

Affiliation:

1. Naver Labs Europe, Meylan, France

Publisher

ACM Press

Reference47 articles.

1. D. Cook, J. Augusto, V. Jakkula, 2009. Ambient Intelligence: Technologies, applications, and opportunities. In Pervasive and Mobile Computing. Vol. 5, Issue 4, pp. 277--298.

2. D. Goldberg, D. Nichols, B. M Oki and D. Terry. 1992. Using collaborative filtering to weave an information tapestry. Communication. ACM 35, pp. 61--70.

3. G. Salton, A. Wong and C. S. Yang. 1992. A Vector Space Model for Automatic Indexing. Communication ACM 18, pp.613--620.

4. C. Levinas. 2014. An Analysis of Memory Based Collaborative Filtering Recommender Systems with Improvement Proposals. In master thesis. Universitat Politecnica de Catalunya.

5. D. Pennock, E. Horovitz, S. Lawrence, L. Giles. 2000. Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach. In Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence (UAI'00), Stanford, California, pp. 473--480

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