Factors that influence query reformulations and search performance in health information retrieval: A multilevel modeling approach.
Kun LuSoohyung JooTaehun LeeRong HuPublished in: J. Assoc. Inf. Sci. Technol. (2017)
Keyphrases
- factors that influence
- information retrieval
- query refinement
- user queries
- search queries
- query formulation
- query expansion
- document search
- search engine
- retrieval process
- information retrieval systems
- original query
- boolean queries
- query reformulation
- structured queries
- result set
- relevant documents
- personalized search
- keyword search
- relevance ranking
- search mechanism
- exploratory search
- exact match
- information access
- document relevance
- video search
- effective retrieval
- complex queries
- relevance feedback
- query processing
- query logs
- current search engines
- search result clustering
- distributed information retrieval
- semantic search
- query suggestion
- retrieval systems
- indexing techniques
- query terms
- search algorithm
- web search
- technology adoption
- retrieval effectiveness
- information seeking
- health care
- keywords
- collection selection
- retrieval strategies
- retrieval engine
- inverted index
- federated search
- retrieval model
- keyword queries
- search interface
- prior art
- web searching
- web searches
- enterprise search
- data sources
- learning to rank
- search tools
- internet commerce
- return a ranked list