Relevance weighting using within-document term statistics.
Kai HuiBen HeTiejian LuoBin WangPublished in: CIKM (2011)
Keyphrases
- inverse document frequency
- tf idf
- term weighting
- term weights
- term frequency
- probabilistic retrieval models
- information retrieval
- document type
- relevance model
- relevance scores
- weighting scheme
- vector space model
- retrieval model
- term weighting schemes
- language modeling framework
- text categorization
- okapi bm
- retrieval systems
- weighting schemes
- document representation
- document ranking
- document retrieval
- query terms
- document relevance
- relevance ranking
- document collections
- test collection
- document frequency
- retrieval effectiveness
- document clustering
- web documents
- document identifiers
- cosine similarity
- initial query
- text documents
- retrieved documents
- probabilistic retrieval model
- information retrieval systems
- web search
- related documents
- maximal marginal relevance
- structured document retrieval
- weighting functions
- text classification
- language modeling
- ranked list
- term proximity
- relevant documents
- document images
- language model
- query expansion
- average precision
- term dependence
- relevant content
- document space
- search engine
- word frequency
- index terms
- text retrieval
- relevance feedback
- xml documents
- ad hoc retrieval
- result lists
- xml elements
- structured documents
- ranking algorithm
- bag of words
- co occurrence