Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach.
Rocío L. CecchiniCarlos M. LorenzettiAna Gabriela MaguitmanIgnacio PonzoniPublished in: Appl. Soft Comput. (2018)
Keyphrases
- information retrieval
- maximal marginal relevance
- test collection
- information retrieval systems
- relevance feedback
- relevance ranking
- search engine
- topic modeling
- relevant documents
- multi objective evolutionary algorithms
- topic models
- benchmark datasets
- question answering
- query expansion
- text mining
- search result diversification
- topic distillation
- document relevance
- related documents
- language model
- vector space model
- language modeling
- retrieval model
- document collections
- retrieval systems
- latent dirichlet allocation
- text collections
- learning to rank
- retrieval effectiveness
- ranking models
- text retrieval
- query topic
- document retrieval
- ir evaluation