A New Subject-based Document Retrieval from Digital Libraries Using Vector Space Model.
Sayed Mahmood BakhshayeshAzadeh MohebiAbbas AhmadiAmir BadamchiPublished in: FedCSIS (2018)
Keyphrases
- document retrieval
- vector space model
- retrieval model
- digital libraries
- language model
- information retrieval
- document collections
- document clustering
- language modeling
- retrieval effectiveness
- text retrieval
- document representation
- tf idf
- average precision
- relevant documents
- latent semantic indexing
- vector space
- query terms
- semantic similarity
- relevance feedback
- pseudo relevance feedback
- query expansion
- n gram
- information retrieval systems
- term frequency
- retrieved documents
- probabilistic model
- metadata
- xml retrieval
- document image analysis
- databases
- multimedia
- database
- semantic information
- web documents
- contextual information
- web search
- information extraction
- knowledge representation
- feature extraction
- database systems
- feature selection