activity
20122023
most citedAn MDP-based Recommender System

99 citations · 183 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2023

Rollout Heuristics for Online Stochastic Contingent Planning

Oded Blumenthal, Guy Shani

Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions. Partially Observable Monte-Carlo P…

cs.CV2022★ 1 cited

Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings

Daniel Shats, Hadar Hezi, Guy Shani +2

Assessing microsatellite stability status of a patient's colorectal cancer is crucial in personalizing treatment regime. Recently, convolutional-neural-networks (CNN) combined with…

cs.MA2021

Partial Disclosure of Private Dependencies in Privacy Preserving Planning

Rotem Lev Lehman, Guy Shani, Roni Stern

In collaborative privacy preserving planning (CPPP), a group of agents jointly creates a plan to achieve a set of goals while preserving each others' privacy. During planning, agen…

cs.CY2020★ 18 cited

Diversity in News Recommendations

Abraham Bernstein, Claes de Vreese, Natali Helberger +19

News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Tod…

cs.AI2019★ 36 cited

A difficulty ranking approach to personalization in E-learning

Avi Segal, Kobi Gal, Guy Shani +1

The prevalence of e-learning systems and on-line courses has made educational material widely accessible to students of varying abilities and backgrounds. There is thus a growing n…

cs.AI2014★ 25 cited

Replanning in Domains with Partial Information and Sensing Actions

Ronen I. Brafman, Guy Shani

Replanning via determinization is a recent, popular approach for online planning in MDPs. In this paper we adapt this idea to classical, non-stochastic domains with partial informa…