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The use of dynamic contexts to improve casual internet searching
2003
ACM Transactions on Information Systems
Research has shown that most users' online information searches are suboptimal. Query optimization based on a relevance feedback or genetic algorithm using dynamic query contexts can help casual users search the Internet. These algorithms can draw on implicit user feedback based on the surrounding links and text in a search engine result set to expand user queries with a variable number of keywords in two manners. Positive expansion adds terms to a user's keywords with a Boolean "and," negative
doi:10.1145/858476.858477
fatcat:vylbprjizzbsviyajlgocfor7i