What is the decision -making module?
The decision -making module is a type of web computer application that attempts to help the user in one of the several ways. The common use of the case is online shopping, where the customer enters their priorities for the product and the decision -making module determines which specific models and models are most closely suited to its preferences. Rozhodovací motory mohou také fungovat sledováním vyhledávání uživatele v průběhu času a pomocí shromážděných dat k návrhům. Vyhledávače jsou centralizované umístění, ze kterého má přístup k různým informacím. Na druhé straně rozhodovací motory vytvářejí individualizované výsledky vyhledávání na základě řady kritérií. Například uživatel může do vyhledávače zadat otázku. Jeden z nejlepších výsledků proToto vyhledávání by bylo relevantním tématem rozhodovacího motoru.
Once on a decision -making engine, the user presented a number of questions known as the decision -making tree, designed to eliminate the choice on the way to find the most durable option. Pokud by uThe firing was looking for mobile phones, the questions would probably concern the price, size, carriers and desires for possibilities such as a speaker phone, the ability of the web, etc. Based on answers to such questions, the highest evaluated answer is finally submitted by an accompanying explanation.
One of the main disadvantages of this model of the decision -making engine is that topics must be created earlier than can be used. As with WIKI, such decision -making motors require users' participation and depend on the development of community more efficient. The decision -making engines that rely on human entry are also subject to human subjectivity and opinion.
and Common solution of bias in decision -making trees is to allow the community to vote. The best or least subjective records rise to the top while poorer items are buried. The reliability of vote for canceling bad records also improveIt takes a greater community involvement, which is even more important to have a large and active user base.
Multiple automated decision -making models are incorporated into popular search engines and work on the basis of the use of accumulated search data so that the results that the user probably considers useful. Instead of relying on human entry, these recommendations are produced during the run according to predetermined formulas. Users can improve the results by telling the system whether they are useful.