Information Retrieval
Google Testing A Censored Search Engine Just For China
The Google.cn for China website is seen on a computer screen in this photo illustration. Google is reportedly working on a censored version of its search engine to comply with China's government's demands. The Google.cn for China website is seen on a computer screen in this photo illustration. Google is reportedly working on a censored version of its search engine to comply with China's government's demands. Google is testing a mobile version of its search engine that will adhere to the Chinese government's censorship demands, including the blocking of certain websites and search terms, according to multiple reports.
Google in China: Internet giant 'plans censored search engine'
Google is developing a version of its search engine that will conform to China's censorship laws, reports say. The company shut down the engine in 2010, complaining that free speech was being limited. But online news site The Intercept says Google has being working on a project code-named Dragonfly that will block terms like human rights and religion, a move sure to anger activists. One state-owned newspaper in China, Securities Daily, dismissed the report. "We provide a number of mobile apps in China, such as Google Translate and Files Go, help Chinese developers, and have made significant investments in Chinese companies like JD.com," it said.
How Pinterest Works as a Search Engine to Drive More Website Traffic
Millions of people love finding great ideas, information, and products from Pinterest. Did you know that this social network also serves as a powerful search engine that can provide valuable links to your website? Now is the time to take advantage of this free opportunity to reach your target market. As with most marketing, you'll find Pinterest pays off much better if you can brand yourself as an expert in your niche. If you sell gift baskets, for example, you want your pins, boards, and brands to be at the top of the page whenever someone searches Pinterest for gift baskets.
Google under fire over reported plans to launch a censored search engine in China
Google is reportedly going to launch a censored version of its search engine in China. The tech giant has been secretly planning to launch the product since last year, as part of a project referred to inside the company as'Dragonfly,' according to The Intercept, which was given internal documents from a whistleblower. It comes as Google has tried and failed to make inroads in the Chinese market over the past several years. Google has been planning to launch the product since last year, as part of a project referred to inside the company as'Dragonfly.' While China is home to the world's largest number of internet users, a 2015 report by US think tank Freedom House found that the country had the most restrictive online use policies of 65 nations it studied, ranking below Iran and Syria.
Google may launch censored search engine app in China
SAN FRANCISCO -- Google may launch a censored version of its search engine in China in a move that would largely reverse its 2010 decision to withdraw from the country, The Intercept reported. The news outlet says Google has been working on a project called Dragonfly since last year and has demonstrated a version of the censored search engine to Chinese officials. The Android app could launch in six to nine months as part of a joint venture with an unnamed partner company, likely in China. It would automatically block websites blacklisted by Beijing as well as search terms on human rights, democracy, religion, and peaceful protest, The Intercept said. "We provide a number of mobile apps in China, such as Google Translate and Files Go, help Chinese developers, and have made significant investments in Chinese companies like JD.com. But we don't comment on speculation about future plans," Google said in a statement.
Google is reportedly working on a censored search engine for China
China's relationship with Google is fractious at best, but it's no secret that the search giant wants to make inroads in what is a largely untapped market. However, its latest alleged plan could send tech's political sphere into a tailspin. According to The Intercept, Google is working on a censored version of its search engine for the country -- one which will blacklist websites and search terms about human rights, democracy, religion and protest. The project, codenamed Dragonfly, has been in the works since spring 2017 and could be ready to launch within the next six to nine months, according to unnamed sources familiar with the plan. Apparently the project was given the go-ahead during a meeting between Google's CEO Sundar Pichai and a top Chinese government official, although it still needs final approval from China.
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval
Syntactic search relies on keywords contained in a query to find suitable documents. So, documents that do not contain the keywords but contain information related to the query are not retrieved. Spreading activation is an algorithm for finding latent information in a query by exploiting relations between nodes in an associative network or semantic network. However, the classical spreading activation algorithm uses all relations of a node in the network that will add unsuitable information into the query. In this paper, we propose a novel approach for semantic text search, called query-oriented-constrained spreading activation that only uses relations relating to the content of the query to find really related information. Experiments on a benchmark dataset show that, in terms of the MAP measure, our search engine is 18.9% and 43.8% respectively better than the syntactic search and the search using the classical constrained spreading activation. NTRODUCTION With rapid development of the Word Wide Web and e-societies, information retrieval (IR) has many challenges in exploiting those rich and huge information resources. Whereas, the keyword based IR has many limitations in finding suitable documents for user's queries. Semantic search improves search precision and recall by understanding user's intent and the contextual meaning of terms in documents and queries.
Rise of the Machines- How Artificial Intelligence is Changing Search Engine Optimization
It was supposed to happen on August 29th, 1997. That was the date that Skynet, an artificial intelligence, would become self-aware and declares war on humanity. Of course, Skynet only exists in the Terminator movie franchise universe. It's an overused, yet still popular, Hollywood trope: an artificial intelligence (AI) becomes self-aware and seeks only to destroy its human creators. From Blade Runner to Terminator to Maximum Overdrive to the more recent Westworld, our fiction is filled with humans fighting AIs who have morphed into murderous, would-be despots.
Datalog: Bag Semantics via Set Semantics
Bertossi, Leopoldo, Gottlob, Georg, Pichler, Reinhard
Duplicates in data management are common and problematic. In this work, we present a translation of Datalog under bag semantics into a well-behaved extension of Datalog (the so-called warded Datalog+-) under set semantics. From a theoretical point of view, this allows us to reason on bag semantics by making use of the well-established theoretical foundations of set semantics. From a practical point of view, this allows us to handle the bag semantics of Datalog by powerful, existing query engines for the required extension of Datalog. Moreover, this translation has the potential for further extensions -- above all to capture the bag semantics of the semantic web query language SPARQL.
The state of natural language & conversational search in 2018
As human beings, we use our voices for conversation. When we interact with voice interfaces, therefore, our natural instinct is to apply the same rules that we would to a human conversation. We expect to be understood, but more than this, we expect the entity we're conversing with to remember the history of our conversation and understand the context of any following remarks. For some time, major search companies like Google and Bing have worked to teach their search engines to understand queries in natural language. Natural language search queries are queries that sound natural spoken aloud, such as, "How high is the Empire State building?" They often begin with question words ("When…?" "How…?" "Why…?"), contain stop words ("a", "the", "of", "for") and full sentences.