Name
Abstract | ||
|---|---|---|
Assume that there is a set of \"voters\" and a set of \"candidates\", where each voter assigns a numerical score to each candidate. There is a scoring function (such as the mean or the median), and a consensus ranking is obtained by applying the scoring function to each candidate's scores. The problem is to find the top k candidates, while minimizing the number of database accesses. The speaker will present an algorithm that is optimal in an extremely strong sense: not just in the worst case or the average case, but in every case! Even though the algorithm is only 10 lines long (!), the paper containing the algorithm won the 2014 Gödel Prize, the top prize for a paper in theoretical computer science. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2902251.2902308 | PODS |
Keywords | Field | DocType |
Aggregation algorithms, score aggregation, instance optimal | Gödel,Ranking,Computer science,Algorithm,Theoretical computer science | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald Fagin | 1 | 8808 | 2643.66 |