On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions.
Omer MadmonIdan PipanoItamar ReinmanMoshe TennenholtzPublished in: CoRR (2024)
Keyphrases
- ranking functions
- learning to rank
- information retrieval
- document retrieval
- weighted majority
- loss function
- web search
- ranking models
- web search engines
- game theory
- term weights
- ranking algorithm
- search engine
- regret minimization
- document collections
- language model
- evaluation measures
- ranking svm
- retrieval model
- directly optimize
- information retrieval systems
- relevance judgments
- query dependent
- game theoretic
- scoring function
- term weighting
- query expansion
- evaluation metrics
- nash equilibrium
- preference learning
- test collection
- information extraction
- weighted voting games
- active sampling
- retrieval systems