– Human-based computation is a field of study that focuses on utilizing human intelligence to solve computational problems.
– It involves tasks that are difficult for computers to perform but relatively easy for humans, such as image recognition or language translation.
– The concept of human-based computation has gained popularity in recent years due to its potential applications in various domains.
– It has been successfully used in projects like reCAPTCHA, where humans help digitize books by solving distorted text images.
– Human-based computation can leverage the collective intelligence of a large number of individuals to solve complex problems.
Human Flesh Search Engine
– A human flesh search engine is an online phenomenon popular in China, where internet users collaborate to identify and locate individuals based on their online activities.
– It is often used to expose wrongdoing or to seek justice for perceived injustices.
– Human flesh search engines have been both praised for their ability to bring attention to important issues and criticized for their potential to invade privacy and incite online harassment.
– The term ‘human flesh search engine’ originated from a Chinese phrase that translates to ‘human flesh search’ and refers to the intense scrutiny of an individual’s personal life.
– The phenomenon has sparked debates about the ethics and consequences of online vigilantism.
– Social search refers to the process of obtaining search results based on the preferences, recommendations, and activities of a user’s social network.
– It aims to provide more personalized and relevant search results by incorporating social data.
– Social search can be implemented through social search engines or by integrating social media platforms into traditional search engines.
– It allows users to discover content that their friends or contacts have found useful or interesting.
– Social search has become increasingly popular with the rise of social media and the desire for personalized online experiences.
– The human-powered search engine ChaCha received $10 million in funding, indicating investor confidence in the potential of human search engines.
– Wikipedia, the popular online encyclopedia, has considered launching a human search engine to enhance its search capabilities.
– The organization hengine has developed a human search engine, focusing on harnessing human intelligence to deliver search results.
– DMOZ (Open Directory Project) is a web directory that has included human search engine listings, providing users with alternative search options.
– The human search engine concept has been recognized as a notable topic on Wikipedia, contributing to its coverage and visibility.
Web Software Stubs
– The article on human search engines is categorized as a web software stub, indicating that it is a short article that requires further expansion.
– The stub status suggests that there is more information and content that can be added to enhance the article’s depth.
– Wikipedia encourages users to contribute and expand stub articles to provide a more comprehensive understanding of the topic.
– The stub status also highlights the ongoing development and growth of knowledge in the field of human search engines.
– Expanding the stub article can help readers access more detailed information and insights about human search engines.
A human search engine was a search engine that used human participation to filter the search results and assist users in clarifying their search request. The goal was to provide users with a limited number of relevant results, as opposed to traditional search engines that often return many results that may or may not be relevant.
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