Game-theoretic analysis of diversification in competitive search reveals a diversity-stability tradeoff, with a new method to guarantee corpus equilibrium.
Armstrong, Alistair Moffat, William Webber, and Justin Zobel
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
LLM-enhanced retrieval systems show large effectiveness gains on TREC benchmarks, yet adapted contamination checks indicate some gains may arise from memorization rather than methodological progress.
An unsupervised character-level CNN encoder with attention-based RNN decoder, trained on Clueweb09 anchor phrases, generates query reformulations that improve retrieval on TREC collections.
citing papers explorer
-
Stability in Competitive Search with Results Diversification
Game-theoretic analysis of diversification in competitive search reveals a diversity-stability tradeoff, with a new method to guarantee corpus equilibrium.
-
The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination
LLM-enhanced retrieval systems show large effectiveness gains on TREC benchmarks, yet adapted contamination checks indicate some gains may arise from memorization rather than methodological progress.
-
Learning to Reformulate the Queries on the WEB
An unsupervised character-level CNN encoder with attention-based RNN decoder, trained on Clueweb09 anchor phrases, generates query reformulations that improve retrieval on TREC collections.