David Ben-Shimon
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2010 – today
- 2016
- [j2]David Ben-Shimon, Lior Rokach, Bracha Shapira:
An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. 64: 84-92 (2016) - [j1]David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira:
Anytime Algorithms for Recommendation Service Providers. ACM TIST 7(3): 43:1-43:26 (2016) - 2015
- [c8]David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani:
Fast Item-Based Collaborative Filtering. ICAART (2) 2015: 457-463 - [c7]Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann:
In-House Solution for the RecSys Challenge 2015. RecSys Challenge 2015: 10:1-10:4 - [c6]David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle:
RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys 2015: 357-358 - [e1]David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira:
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015. ACM 2015, ISBN 978-1-4503-3665-9 [contents] - 2014
- [c5]David Ben-Shimon, Michael Friedmann, Johannes Hoerle, Alexander Tsikinovsky, Roland Gude, Rodion Aluchanov:
Deploying recommender system for the masses. IUI Companion 2014: 1-4 - [c4]David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Johannes Hörle:
Configuring and monitoring recommender system as a service. RecSys 2014: 363-364 - 2013
- [c3]
2000 – 2009
- 2007
- [c2]David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Guy Shani, Lihi Naamani:
Recommender System from Personal Social Networks. AWIC 2007: 47-55 - [c1]Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon:
Establishing User Profiles in the MediaScout Recommender System. CIDM 2007: 470-476 - 2006
- [p1]David Ben-Shimon, Armin Shmilovici:
Kernels for the Relevance Vector Machine - An Empirical Study. Advances in Web Intelligence and Data Mining 2006: 253-263
Coauthor Index
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last updated on 2018-03-07 10:18 CET by the dblp team