Use of textual and conceptual profiles for personalized retrieval of political documents.
Eduardo Vicente-LópezLuis M. de CamposJuan M. Fernández-LunaJuan F. HuetePublished in: Knowl. Based Syst. (2016)
Keyphrases
- information retrieval
- document retrieval
- retrieval systems
- information retrieval systems
- document structure
- user profiles
- structured documents
- keywords
- document indexing
- free text
- multilingual information retrieval
- multimedia documents
- document collections
- document analysis
- retrieval process
- metadata
- index terms
- document content
- text retrieval
- query terms
- retrieval model
- query expansion
- multimedia
- semantic content
- heterogeneous collections
- retrieval engine
- document ranking
- xml documents
- relevant documents
- query specific
- web retrieval
- text queries
- test collection
- documents retrieved
- conceptual information
- information extraction
- similar documents
- social media
- expert finding
- web documents
- textual data
- document level
- retrieved documents
- effective retrieval
- text content
- boolean queries
- inter document similarities
- textual features
- retrieval strategies
- textual descriptions
- textual information
- term frequency
- document representation
- vector space model
- e learning
- relevance feedback
- e government
- personal preferences
- user queries
- retrieve documents
- text documents
- document clustering
- retrieval effectiveness
- distributed information retrieval
- related documents
- relevance model
- content based retrieval
- web images
- image retrieval
- digital libraries
- controlled vocabulary