The first list above provides general guidelines for an effective search engine. use search history to provide a list of autocomplete search phrases.customize search results based on information stored in the user's account.produce search results that are most relevant to the user's location.The following heuristics may apply to a specific type of search engine: order results by most relevant to least relevant.use a "fuzzy search" to search for terms similar to keywords entered by the user, instead of only exact matches.create an index of searchable data to improve search efficiency.The following metaheuristics apply to all search engines: Below are examples of each: Search Metaheuristics
Developers use metaheuristics to produce consistent programming practices, while they develop heuristics for specific solutions.įor example, a software development team may build a search engine using both metaheuristics and heuristics. A heuristic applies to a specific problem, while a metaheuristic is a general guideline that is problem-independent. Metaheuristics are larger principles or guidelines that establish the heuristics used to create algorithms.īoth heuristics and metaheuristics apply to computer programming. In computer science, heuristics are the foundation of algorithms.
Compare to Balinese ᬫᬢ᭄ᬢ ( mata, “ furious ” ). Indonesian Alternative forms įrom Sanskrit मत्त ( matta, “ mad, drunken ” ). See the etymology of the corresponding lemma form.
Meta ( comparative more meta, superlative most meta) ( General American ) IPA ( key): /ˈmɛtə/,.( Received Pronunciation ) IPA ( key): /ˈmɛtə/.
From meta-, back-formed from metaphysics.