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Diffeo (company)
Diffeo, Inc. ( ), is a software company that developed a collaborative intelligence text mining product for defense, intelligence and financial services customers. The Diffeo product is a recommender engine that analyzes text in a user's working documents, such as draft emails and web pages, identifying named entities and proposing related entities. Diffeo was founded in 2012 and was acquired by Salesforce in 2019. The company grew out of NIST's Text Retrieval Conference where the founding team organized the Knowledge Base Acceleration (KBA) evaluation to measure the effectiveness of recommender engines. History Founding The company was founded by three Hertz Fellows, Dan Roberts, Max Kleiman-Weiner, and John Frank, a co-founder of MetaCarta. The name Diffeo comes from a shortening of diffeomorphism, which two of the cofounders were learning about in a class about blackholes by Andrew Strominger. Diffeo was one of the first residents in hack/reduce. Funding In 2 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Salesforce
Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) software and applications focused on sales, customer service, marketing automation, analytics, and application development. Founded by former Oracle executive Marc Benioff, Salesforce quickly grew into one of the largest companies in the world, making its IPO in 2004. Salesforce's continued growth makes it into the first cloud computing company to reach US$1billion in annual revenue by fiscal year 2009, and the world's largest enterprise software firm by 2022. Today, Salesforce is one of the largest technology companies in the world, and as of September 19, 2022, is the 61st largest company in the world by market cap with a value of nearly US$153 billion. Salesforce ranked 136th on the most recent edition of the ''Fortune'' 500, making US$26.5billion in 2022. Since 2020, Salesforce has also been a component of the Dow ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Regularization (mathematics)
In mathematics, statistics, finance, computer science, particularly in machine learning and inverse problems, regularization is a process that changes the result answer to be "simpler". It is often used to obtain results for ill-posed problems or to prevent overfitting. Although regularization procedures can be divided in many ways, following delineation is particularly helpful: * Explicit regularization is regularization whenever one explicitly adds a term to the optimization problem. These terms could be priors, penalties, or constraints. Explicit regularization is commonly employed with ill-posed optimization problems. The regularization term, or penalty, imposes a cost on the optimization function to make the optimal solution unique. * Implicit regularization is all other forms of regularization. This includes, for example, early stopping, using a robust loss function, and discarding outliers. Implicit regularization is essentially ubiquitous in modern machine learning appr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Web Browser
A web browser is application software for accessing websites. When a user requests a web page from a particular website, the browser retrieves its files from a web server and then displays the page on the user's screen. Browsers are used on a range of devices, including desktops, laptops, tablets, and smartphones. In 2020, an estimated 4.9 billion people used a browser. The most used browser is Google Chrome, with a 65% global market share on all devices, followed by Safari with 18%. A web browser is not the same thing as a search engine, though the two are often confused. A search engine is a website that provides links to other websites. However, to connect to a website's server and display its web pages, a user must have a web browser installed. In some technical contexts, browsers are referred to as user agents. Function The purpose of a web browser is to fetch content from the World Wide Web or from local storage and display it on a user's device. This process ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Emails
Electronic mail (email or e-mail) is a method of exchanging messages ("mail") between people using electronic devices. Email was thus conceived as the electronic ( digital) version of, or counterpart to, mail, at a time when "mail" meant only physical mail (hence '' e- + mail''). Email later became a ubiquitous (very widely used) communication medium, to the point that in current use, an email address is often treated as a basic and necessary part of many processes in business, commerce, government, education, entertainment, and other spheres of daily life in most countries. ''Email'' is the medium, and each message sent therewith is also called an ''email.'' The term is a mass noun. Email operates across computer networks, primarily the Internet, and also local area networks. Today's email systems are based on a store-and-forward model. Email servers accept, forward, deliver, and store messages. Neither the users nor their computers are required to be online simult ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Information Repository
In information technology, an information repository or simply a repository is "a central place in which an aggregation of data is kept and maintained in an organized way, usually in computer storage." It "may be just the aggregation of data itself into some accessible place of storage or it may also imply some ability to selectively extract data." Universal digital library The concept of a universal digital library was described as "within reach" by a 2012 '' European Union Copyright Directiveurl=https://www.latimes.com/opinion/la-xpm-2012-may-01-la-oe-samuelson-google-books-and-copyright-20120501-story.html , title=A universal digital library is within reach , author=Pamela Samuelson , date=May 1, 2012 which told about Google's attempts to "mass-digitize" what are termed "orphan works" (i.e. out-of-print copyrighted works. The U.S. Copyright Office and the European Union Copyrigh law have been working on this. Google has reached agreements in France which "lets the publ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Web Crawler
A Web crawler, sometimes called a spider or spiderbot and often shortened to crawler, is an Internet bot that systematically browses the World Wide Web and that is typically operated by search engines for the purpose of Web indexing (''web spidering''). Web search engines and some other websites use Web crawling or spidering software to update their web content or indices of other sites' web content. Web crawlers copy pages for processing by a search engine, which indexes the downloaded pages so that users can search more efficiently. Crawlers consume resources on visited systems and often visit sites unprompted. Issues of schedule, load, and "politeness" come into play when large collections of pages are accessed. Mechanisms exist for public sites not wishing to be crawled to make this known to the crawling agent. For example, including a robots.txt file can request bots to index only parts of a website, or nothing at all. The number of Internet pages is extremely large; ev ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Named Entities
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. Most research on NER/NEE systems has been structured as taking an unannotated block of text, such as this one: And producing an annotated block of text that highlights the names of entities: In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified. State-of-the-art NER systems for English produce near-human performance. For example, the best system entering MUC-7 scored 93.39% of F-measure while human annotators scored 97.60% and 96.95%. Named-entity recognition platforms Notable NER platforms include ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
