Bibliography

  1. [ABE 09] ABEL M.-H., LEBLANC A., “Knowledge sharing via the E-MEM0RAe2.0 platform”, 6th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning, Montreal, Canada, pp. 10-19, October 2009.
  2. [ADE 14] ADENIYI D., WAI Z., YONGQUAN Y., “Automated web usage data mining and recommendation system using k-nearest neighbor (KNN) classification method”, Applied Computing and Informatics, 2014.
  3. [ADO 05] ADOMAVICIUS G., TUZHILIN A., “Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions”, IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734-749, 2005.
  4. [ADO 08] ADOMAVICIUS G., TUZHILIN A., “Context-aware recommender systems”, Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys ’08), New York, NY, ACM, pp. 335-336, 2008.
  5. [AGR 93] AGRAWAL R., IMIELIŃSKI T., SWAMI A., “Mining association rules between sets of items in large databases”, ACM SIGMOD Record, vol. 22, no. 2, pp. 207-216, June 1993.
  6. [AMA 15] AMAZON, www.amazon.com, 2015.
  7. [AND 08] ANDERSEN R., BORGS C., CHAYES J., et al., “Trust-based recommendation systems: an axiomatic approach”, Proceedings of the 17th International Conference on World Wide Web (WWW ’08), New York, NY, ACM, pp. 199-208, 2008.
  8. [ASS 14] ASSI R.A., ZARAKET F.A., MASRI W., “UCov: a user-defined coverage criterion for test case intent verification”, CoRR, vol. abs/1407.3091, 2014.
  9. [BAE 99] BAEZA-YATES R.A., RIBEIRO-NETO ...

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