Libraries tagged by article feed

## Introduction Use the Numeno Article Recommender API to receive a curated selection of articles from across the web. See below for the steps to creating a Feed, as well as an introduction to the top-level concepts making up the Article Recommender API. ## Steps to creating a Feed 1. Create a Feed - [`/feeds`](create-feed) 2. Create a number of Stream queries associated with the Feed - [`/feeds/:feedId/streams`](create-stream) 3. Pull from the Feed as the Feed refreshes - [`/feeds/:feedId/articles`](get-articles-in-feed) 4. Use those Article IDs to look up metadata for the Articles -[`/articles/:id`](get-article-by-id) 5. Visit the Article links and render to your server DB or client app. ## Sources, Articles and Topics A **Source** is a place where Articles come from, typically a website, a blog, or a knowledgebase endpoint. Sources can be queried for activity via the [`/sources`](get-sources) endpoint. Beyond the Sources Numeno regaularly indexes, additional Sources can be associated with Stream queries, and Sources can be `allowlist`/`denylist`'d. **Articles** are the documents produced by Sources, typically pages from a blogpost or website, articles from a news source, or posts from a social platform or company intranet. See the [`/articles`](search-articles) endpoint. **Topics** - Numeno has millions of Topics that it associates with Articles when they are sourced. Topics are used in Stream queries, which themselves are composed to create Feeds. Get topics via the [`/topics`](get-topics) endpoint. ## Feeds **A Feed is a collection of Streams.** Feeds are configured to refresh on a regular schedule. No new Articles are published to a Feed except when it's refreshed. Feeds can be refreshed manually if the API Key Scopes allow. You can ask for Articles chronologically or by decreasing score. You can also limit Articles to a date-range, meaning that you can produce Feeds from historical content. Interact with Feeds via the [`/feeds`](create-feed) endpoint. ## Streams Think of a **Stream** as a search query with a "volume control knob". It's a collection of Topics that you're interested and a collection of Sources you'd explicitly like to include or exclude. Streams are associated with a Feed, and a collection of Streams produce the sequence of Articles that appear when a Feed is refreshed. The "volume control knob" on a Stream is a way to decide how many of the search results from the Stream query are included in the Feed. Our searches are "soft", and with a such a rich `Article x Topic` space to draw on, the "volume control" allows you to put a cuttoff on what you'd like included. Streams are a nested resource of `/feeds` - get started by explorting [`/feeds/:feedId/streams`](create-stream).

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## Introduction Use the Numeno Administration API to create API Keys and set their permissions (which we call Scopes). This API is meant to be used by administrators of your organization. ## Scopes Scopes are used to let API Keys access only certain parts of the API. Scopes are expressed as a string of the form `api:resource:action`. For example, from the Numeno Article Recommender API (`art-rec`): - `art-rec:feeds:read` - can read any Feed (eg. `GET` `/feeds`, `/feeds/:id`, `/feeds/:id/streams`, etc.) - `art-rec:feeds:write` - can write (and read) any Feed - `art-rec:feeds:*` - can perform any action on Feeds - `art-rec:*:read` - can read any resource on `art-rec` - `*:*:*` - can do everything

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Extends the article content type to add the taxonomies needed for article syndication.

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Easy, flexible and lightweight news extension. No extra tables needed, using pages for news articles.

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A Laravel library to extend Faker to allow for the realistic creation of news articles for use in seeding and testing

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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