beam search
Type: Concept
As of November 2026, beam search has been mentioned in 2 episodes across 1 podcast, first heard Jan 2026 on Kaggle. In the "Kaggle Winners Walkthroughs: Santa 2024" episodes, beam search is mentioned as a search algorithm used during the optimization phase of a solution. Team Santa Master specifically refers to using beam search to insert words, while Team Hamiltonians notes it as an alternative method they tested but ultimately did not implement in their final solution.
In computer science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is a modification of best-first search that reduces its memory requirements. Best-first search is a graph search that orders all partial solutions (states) according to some heuristic. But in beam search, only a predetermined number of best partial solutions are kept as candidates. It is thus a greedy algorithm.
| Mentioned in | 2 episodes on 1 podcast (as of November 2026) |
|---|---|
| First heard | Jan 2026 on Kaggle |
| Field | Optimization |
What do podcasts say about beam search?
2 quotes, recorded on Kaggle.
Who talks about beam search on podcasts?
beam search came up; the most recent mention was Jan 2026 on Kaggle.
What is beam search mentioned alongside?
beam search is most often mentioned alongside B ranks, content words and local optimization.
Mentioned together: B ranks, content words, local optimization, simulated annealing, alphabetical order, function words