Author: Yaniv Eytani

Publication Overview

Publication period start: 2007
Number of co-authors: 5

Co-Authors

Number of publications with favourite co-authors

Productive Colleagues

Most productive colleagues in number of publications

Publications

Berkovsky, Shlomo, Eytani, Yaniv, Gal, Avigdor (2005): Measuring the Relative Performance of Schema Matchers. In: Skowron, Andrzej, Agrawal, Rakesh, Luck, Michael, Yamaguchi, Takahira, Morizet-Mahoudeaux, Pierre, Liu, Jiming, Zhong, Ning (eds.) 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005 19-22 September, 2005, Compiegne, France. pp. 366-371. https://doi.ieeecomputersociety.org/10.1109/WI.2005.94
Berkovsky, Shlomo, Eytani, Yaniv, Manevitz, Larry M. (2006): Collaborative Filtering Based on Content Addressing. In: Manolopoulos, Yannis, Filipe, Joaquim, Constantopoulos, Panos, Cordeiro, José (eds.) ICEIS 2006 - Proceedings of the Eighth International Conference on Enterprise Information Systems Databases and Information Systems Integration May 23-27, 2006, Paphos, Cyprus. pp. 91-98.
Berkovsky, Shlomo, Eytani, Yaniv, Manevitz, Larry M. (2008): Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space. In: Manolopoulos, Yannis, Filipe, Joaquim, Constantopoulos, Panos, Cordeiro, José (eds.) ICEIS 2006 - Enterprise Information Systems - 8th International Conference May 23-27, 2008, Paphos, Cyprus. pp. 159-178. https://dx.doi.org/10.1007/978-3-540-77581-2_11
Berkovsky, Shlomo, Eytani, Yaniv, Kuflik, Tsvi, Ricci, Francesco (2007): Enhancing privacy and preserving accuracy of a distributed collaborative filtering. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 9-16. https://dx.doi.org/10.1145/1297231.1297234
Privacy Settings
By using this site, you accept our Cookie Policy and Terms of Use.
Customize
Accept all

Feel Stuck? Want Freedom?

Join 326,061+ designers who get one powerful email each week. Learn to design a life you love.

Next email in
1
day
0
hrs
17
mins
21
secs

Free forever. No spam. Unsubscribe anytime.