Temperature Discovery Search (TDS) is a forward search method for computing or approximating the temperature of a combinatorial game. Temperature and mean are important concepts i...
The rapid urban expansion has greatly extended the physical boundary of users’ living area and developed a large number of POIs (points of interest). POI recommendation is a tas...
We present a novel semantics for extracting bounded-level modules from RDF ontologies and databases augmented with safe inference rules, `a la Datalog. Dealing with a recursive ru...
We present the first model of optimal voting under adversarial noise. From this viewpoint, voting rules are seen as errorcorrecting codes: their goal is to correct errors in the ...
This paper represents a paradigm shift in what advice agents should provide people. Contrary to what was previously thought, we empirically show that agents that dispense optimal ...
Avshalom Elmalech, David Sarne, Avi Rosenfeld, Ede...