Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge.
Michele FilanninoGoran NenadicPublished in: NTCIR (2014)
Keyphrases
- search engine
- machine learning
- web search engines
- query logs
- user queries
- search queries
- web queries
- web search
- retrieval systems
- query processing
- meta search
- query suggestion
- query recommendation
- search quality
- spatio temporal
- commercial web search engines
- search logs
- web pages
- response time
- information retrieval
- user clicks
- information extraction
- web search queries
- temporal reasoning
- information access
- temporal data
- search result
- machine learning algorithms
- natural language queries
- database queries
- commercial search engines
- search experience
- search sessions
- web searches
- web databases
- keywords
- query terms
- temporal information
- information retrieval systems
- natural language processing
- search interface
- query formulation
- relevance ranking
- data mining
- meta search engine
- relevant documents
- user behavior
- decision trees
- natural language