Human-Based Computation
– 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
– 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.
References
– 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.
Examples of defunct human search engines include ApexKB, ChaCha, Mahalo.com, NowNow (from Amazon.com), DMOZ and Sproose.
