Journal Articles

  1. David Ben-Shimon, Lior Rokach, Bracha Shapira (2016). An ensemble method for top-N recommendations from the SVD. Expert Systems with Applications. Vol. 64, 2016, pages 84-92. [doi]
  2. David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani (2016). Anytime Algorithms for Recommendation Service Providers. ACM Transactions on Intelligent Systems and Technology (TIST), 2016, 7.3: 43. [doi]
  3. David Ben-Shimon, Armin Shmilovici (2006). Accelerating the relevance vector machine via data partitioning. Journal of Foundations of Computing and DecisionSciences. Vol. 31 - No.1. [url]
  4. Patents

  5. Michael Friedmann, David Ben-Shimon, Lior Rokach (2014). Method and system for recommending geo-tagged items. U.S. Patent Application 13/453,040. Granted on July 29, 2014. [url], [url]
  6. Book Chapters

  7. David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisles, Guy Shani, and Lihi Naamani (2007). Recommender System from Personal Social Networks. In Advances in Intelligent Web Mastering, pp. 47-55. Springer Berlin Heidelberg, 2007.[doi]
  8. David Ben-Shimon, Armin Shmilovici (2006). Kernels for the Relevance Vector Machine-An Empirical Study Advances in Web Intelligence and Data Mining, Studies in computational intelligence vol 23, pp. 253-263. Springer.[doi]
  9. Conference Articles

  10. David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle (2015). RecSys challenge 2015 and the YOOCHOOSE dataset (2015). In Proceedings of the 9th ACM Conference on Recommender Systems (pp. 357-358). ACM. [doi]
  11. Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira,Lior Rokach, Michael Friedmann (2015). In-House Solution for the RecSys Challenge 2015. In Proceedings of the 2015 International ACM Recommender Systems Challenge (p. 10). [doi]
  12. David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani (2015). Fast Item-Based Collaborative Filtering. In Proceedings of the 7th International Conference on Agents and Artificial Intelligence, pages 457-463. [doi]
  13. David Ben-Shimon, Michael Friedman, Johannes Hoerle,Alexander Tsikinovsky, Roland Gude, Rodion Aluchanov (2014). Deploying recommender system for the masses. In Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces, pp. 1-4. ACM, 2014. [doi]
  14. David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Johannes Hörle (2014). Configuring and monitoring recommender system as a service. Proceedings of the 8th ACM Conference on Recommender systems (pp. 363-364). [doi]
  15. David Ben-Shimon (2013). Anytime algorithms for top-N recommenders. Proceedings of the 7th ACM conference on Recommender systems. ACM, 2013. [doi]
  16. Armin Shmilovici, David Ben-Shimon (2013). A Feature Selection Strategy for the Relevance Vector Machine. 12th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases(AIKED '13) Cambridge, UK February 20-22, 2013. [url]
  17. Lior Rokach, Guy Shani, Amnon Meisles, David Ben-Shimon,Alexander Tsikinovsky, Lihi Naamani (2007). Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System. The 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Madeira - Portugal, June 12-16, 2007. [url]
  18. Guy Shani, Lior Rokach, Amnon Meisles, Yan Gleyzer, David Ben-Shimon (2007). A Stereotypes-Based Hybrid Recommender System for Media Items. AAAI Workshop on Recommender Systems, AAAI 2007. [doi]
  19. Guy Shani, Lior Rokach, Amnon Meisles, Lihi Naamani, Nischal Piratla, David Ben-Shimon (2007). Establishing User Profiles in the MediaScout Recommender System. Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007). [doi]
  20. David Ben-Shimon, Armin Shmilovici (2006). A Working Set Algorithm for Accelerating the Relevance Vector Machine. Proceedings of 11th conference of information processing and management of uncertainty in knowledge based-systems (IPMU) pp. 56-59. Paris, France 7/2006. [url]
  21. David Ben-Shimon, Armin Shmilovici (2005). Accelerating the relevance vector machine via data partitioning. Proceedings of 1st ADBIS workshop on data mining and knowledge discovery ADMKD’2005, 9/2005 15-16, Tallinn, Astonia, pp.25-34.(preliminary version of part of journal paper no. 1). [url]
  22. Editor’s Proceedings

  23. David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira. Proceedings of the 2015 International ACM Recommender Systems Challenge. ACM RecSys 2015, Vienna,Austria. ISBN 978-1-4503-3665-9. [url]
  24. Other

  25. David Ben-Shimon. Anytime Algorithms for Top-N Recommenders. Ph.D Dissertation.
  26. David Ben-Shimon. Accelerating the Relevance Vector Machine. M.Sc Dissertation. [url]