WinnowTag
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WinnowTag
winnowTag is a web-based recommender system and news aggregator in which a person tags example items as belonging to a topic, thus training statistical text classification software to find more items on that same topic. Released as a publicly available web application in September 2010 by Mindloom, winnowTag uses Winnow content recommendation, a Naive Bayes text classifier evolved from SpamBayes. Users of winnowTag create and share tags, and use the shared tags of others to find on-topic content in real time. Users can add feeds, import OPML feed lists, and publish feeds of items found by tags. winnowTag collects and retains items from the last three months of thousands of blog, news, and website Atom and RSS feeds. Comparison With many news aggregators users find and add each feed they wish to read, and scan the titles of all items published in those feeds to find content they want. Thus it is possible to consider every item published in a set of feeds, but the volume of item ...
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Recommender System
A recommender system (RecSys), or a recommendation system (sometimes replacing ''system'' with terms such as ''platform'', ''engine'', or ''algorithm'') and sometimes only called "the algorithm" or "algorithm", is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer. Modern recommendation systems such as those used on large social media sites make extensive use of AI, machine learning and related techniques to learn the behavior and preferences of each user and categorize content to tailor their feed individually. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are used in a variety of areas, with commonly recognised ex ...
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News Aggregator
In computing, a news aggregator, also termed a feed aggregator, content aggregator, feed reader, news reader, or simply an aggregator, is client software or a web application that aggregates digital Content (media), content such as online newspapers, blogs, podcasts, and Video logging, video blogs (vlogs) in one location for easy viewing. The updates distributed may include journal tables of contents, podcasts, videos, and news items. Contemporary news aggregators include MSN, Yahoo! News, Feedly, Inoreader, and Mozilla Thunderbird. Function Aggregation technology often consolidates (sometimes Web syndication, syndicated) web content into one page that can show only the new or updated information from many sites. Aggregators reduce the time and effort needed to regularly check websites for updates, creating a unique information space or ''personal newspaper''. Once subscribed to a feed, an aggregator is able to check for new content at user-determined intervals and retrieve t ...
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Web Application
A web application (or web app) is application software that is created with web technologies and runs via a web browser. Web applications emerged during the late 1990s and allowed for the server to dynamically build a response to the request, in contrast to static web pages. Web applications are commonly distributed via a web server. There are several different tier systems that web applications use to communicate between the web browsers, the client interface, and server data. Each system has its own uses as they function in different ways. However, there are many security risks that developers must be aware of during development; proper measures to protect user data are vital. Web applications are often constructed with the use of a web application framework. Single-page applications (SPAs) and progressive web apps (PWAs) are two architectural approaches to creating web applications that provide a user experience similar to native apps, including features such as smoo ...
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Naive Bayes Classifier
In statistics, naive (sometimes simple or idiot's) Bayes classifiers are a family of " probabilistic classifiers" which assumes that the features are conditionally independent, given the target class. In other words, a naive Bayes model assumes the information about the class provided by each variable is unrelated to the information from the others, with no information shared between the predictors. The highly unrealistic nature of this assumption, called the naive independence assumption, is what gives the classifier its name. These classifiers are some of the simplest Bayesian network models. Naive Bayes classifiers generally perform worse than more advanced models like logistic regressions, especially at quantifying uncertainty (with naive Bayes models often producing wildly overconfident probabilities). However, they are highly scalable, requiring only one parameter for each feature or predictor in a learning problem. Maximum-likelihood training can be done by evaluating a c ...
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SpamBayes
SpamBayes is a Bayesian spam filter written in Python which uses techniques laid out by Paul Graham in his essay "A Plan for Spam". It has subsequently been improved by Gary Robinson and Tim Peters, among others. The most notable difference between a conventional Bayesian filter and the filter used by SpamBayes is that there are three classifications rather than two: spam, non-spam (called ''ham'' in SpamBayes), and unsure. The user trains a message as being either ham or spam; when filtering a message, the spam filters generate one score for ham and another for spam. If the spam score is high and the ham score is low, the message will be classified as spam. If the spam score is low and the ham score is high, the message will be classified as ham. If the scores are both high or both low, the message will be classified as unsure. This approach leads to a low number of false positives and false negative A false positive is an error in binary classification in which a test r ...
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OPML
OPML (Outline Processor Markup Language) is an XML format for outlines (defined as "a tree, where each node contains a set of named attributes with string values"). Originally developed by UserLand Software as a native file format for the outliner application in its Radio UserLand product, it has since been adopted for other uses, the most common being to exchange lists of web feeds between web feed aggregators. The OPML specification defines an outline as a hierarchical, ordered list of arbitrary elements. The specification is fairly open which makes it suitable for many types of list data. Support for importing and exporting RSS feed lists in OPML format is available in Mozilla Thunderbird and in most other RSS reader web sites and applications. XML format The XML elements in an OPML document are: ; <opml version="1.0"> : This is the root element. It must contain the version attribute and one ''head'' and one ''body'' element. ; <head> : Contains metadata. M ...
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Atom (standard)
The name Atom applies to a pair of related Web standards. The Atom Syndication Format is an XML language used for web feeds, while the Atom Publishing Protocol (AtomPub or APP) is a simple HTTP-based protocol for creating and updating web resources. Web feeds allow software programs to check for updates published on a website. To provide a web feed, the site owner may use specialized software (such as a content management system) that publishes a list (or "feed") of recent articles or content in a standardized, machine-readable format. The feed can then be downloaded by programs that use it, like websites that syndicate content from the feed, or by feed reader programs that allow internet users to subscribe to feeds and view their content. A feed contains entries, which may be headlines, full-text articles, excerpts, summaries or links to content on a website along with various metadata. The Atom format was developed as an alternative to RSS. Ben Trott, an advocate of ...
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Web Feed
On the World Wide Web, a web feed (or news feed) is a data format used for providing users with frequently updated content. Content distributors ''syndicate'' a web feed, thereby allowing users to ''subscribe'' a channel to it by adding the feed resource address to a news aggregator client (also called a ''feed reader'' or a ''news reader''). Users typically subscribe to a feed by manually entering the URL of a feed or clicking a link in a web browser or by dragging the link from the web browser to the aggregator, thus "RSS and Atom files provide news updates from a website in a simple form for your computer." The kinds of content delivered by a web feed are typically HTML (webpage content) or links to webpages and other kinds of digital media. Often, when websites provide web feeds to notify users of content updates, they only include summaries in the web feed rather than the full content itself. Many news websites, weblogs, schools and podcasters operate web feeds. As web fe ...
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Online Communities
An online community, also called an internet community or web community, is a community whose members engage in computer-mediated communication primarily via the Internet. Members of the community usually share common interests. For many, online communities may feel like home, consisting of a "family of invisible friends". Additionally, these "friends" can be connected through gaming communities and gaming companies. An online community can act as an information system where members can post, comment on discussions, give advice or collaborate, and includes medical advice or specific health care research as well. Commonly, people communicate through social networking sites, chat rooms, Internet forum, forums, email lists, and discussion boards, and have advanced into daily social media platforms as well. This includes Facebook, Twitter, Instagram, Discord, etc. People may also join online communities through video games, blogs, and virtual worlds, and could potentially meet ne ...
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Recommender Systems
A recommender system (RecSys), or a recommendation system (sometimes replacing ''system'' with terms such as ''platform'', ''engine'', or ''algorithm'') and sometimes only called "the algorithm" or "algorithm", is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer. Modern recommendation systems such as those used on large social media sites make extensive use of AI, machine learning and related techniques to learn the behavior and preferences of each user and categorize content to tailor their feed individually. Typically, the suggestions refer to various Decision-making process, decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are used in a variety of areas, with ...
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