no code implementations • 10 Jul 2019 • David Abensur, Ivan Balashov, Shaked Bar, Ronny Lempel, Nurit Moscovici, Ilan Orlov, Danny Rosenstein, Ido Tamir
Contextual Multi-Armed Bandits is a well-known and accepted online optimization algorithm, that is used in many Web experiences to tailor content or presentation to users' traffic.
no code implementations • 7 Jul 2019 • Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel
Over the past 10 years, many recommendation techniques have been based on embedding users and items in latent vector spaces, where the inner product of a (user, item) pair of vectors represents the predicted affinity of the user to the item.
no code implementations • 10 Jun 2014 • Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh
It is well known that collaborative filtering (CF) based recommender systems provide better modeling of users and items associated with considerable rating history.
no code implementations • NeurIPS 2013 • Eshcar Hillel, Zohar Karnin, Tomer Koren, Ronny Lempel, Oren Somekh
That is, distributing learning to $k$ players gives rise to a factor $\sqrt{k}$ parallel speed-up.
no code implementations • 8 Aug 2013 • Michal Aharon, Natalie Aizenberg, Edward Bortnikov, Ronny Lempel, Roi Adadi, Tomer Benyamini, Liron Levin, Ran Roth, Ohad Serfaty
Assuming certain features or attributes of users are known, one approach for handling new users is to initially model them based on their features.