Scalable Content-Based Ranking in P2P Information Retrieval.
Maroje PuhToan LuuIvana Podnar ZarkoMartin RajmanPublished in: KES (1) (2008)
Keyphrases
- information retrieval
- learning to rank
- information filtering
- scalable distributed
- desktop search
- peer to peer
- relevance feedback
- maximal marginal relevance
- probability ranking principle
- image retrieval
- ranking functions
- ranking scheme
- rank aggregation
- ranking algorithm
- search engine
- web search
- document ranking
- text mining
- user feedback
- effective retrieval
- document retrieval
- query expansion
- information retrieval systems
- ranking models
- document collections
- highly scalable
- web scale
- document relevance
- content similarity
- file sharing
- information extraction
- fully distributed
- personalized search
- vector space model
- overlay network
- latent semantic indexing
- link analysis
- language modeling
- ranked list
- text retrieval
- language model
- multimedia
- video search
- collaborative filtering
- natural language processing
- distributed hash tables
- probabilistic model
- relevance ranking
- expert finding
- resource discovery
- information access
- information seeking
- evaluation measures
- relevant documents
- test collection
- loss function
- web documents